{"payload":{"pageCount":16,"repositories":[{"type":"Public","name":"TransformerEngine","owner":"NVIDIA","isFork":false,"description":"A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.","allTopics":["python","machine-learning","deep-learning","gpu","cuda","pytorch","jax","fp8"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":29,"issueCount":99,"starsCount":1542,"forksCount":241,"license":"Apache License 2.0","participation":[8,9,2,2,13,8,6,6,8,8,4,3,3,2,8,8,10,9,10,2,2,10,7,4,10,6,11,0,1,10,7,13,11,9,6,7,5,9,5,5,6,4,12,11,8,13,6,7,9,7,8,14],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T21:49:05.224Z"}},{"type":"Public","name":"NeMo-Aligner","owner":"NVIDIA","isFork":false,"description":"Scalable toolkit for efficient model alignment","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":23,"issueCount":40,"starsCount":299,"forksCount":32,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,8,3,12,2,2,3,0,2,1,0,7,0,3,0,2,3,3,2,4,1,5,3,1,2,5,0,1,1,2,2],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T21:44:06.379Z"}},{"type":"Public","name":"NeMo","owner":"NVIDIA","isFork":false,"description":"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)","allTopics":["machine-translation","tts","speech-synthesis","neural-networks","deeplearning","speaker-recognition","asr","multimodal","speech-translation","large-language-models","speaker-diariazation","generative-ai"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":81,"issueCount":61,"starsCount":10438,"forksCount":2227,"license":"Apache License 2.0","participation":[9,19,16,13,21,15,11,18,24,22,18,18,26,13,18,34,18,23,24,6,12,4,12,6,6,18,14,6,6,12,20,26,15,14,18,24,33,26,23,37,23,11,26,38,30,21,39,32,28,19,24,44],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T21:42:44.696Z"}},{"type":"Public","name":"NeMo-Curator","owner":"NVIDIA","isFork":false,"description":"Scalable toolkit for data curation","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":14,"issueCount":33,"starsCount":309,"forksCount":31,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,6,3,1,1,6,1,5,3,2,5,4,2],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T21:36:43.766Z"}},{"type":"Public","name":"Fuser","owner":"NVIDIA","isFork":false,"description":"A Fusion Code Generator for NVIDIA GPUs (commonly known as \"nvFuser\")","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":94,"issueCount":228,"starsCount":229,"forksCount":42,"license":"Other","participation":[5,33,3,22,20,21,17,12,28,26,32,19,18,19,45,33,20,24,34,27,36,34,50,28,35,41,31,4,2,24,23,15,13,19,24,17,38,14,25,42,24,14,22,20,38,23,18,19,21,15,32,34],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T21:32:59.541Z"}},{"type":"Public","name":"modulus","owner":"NVIDIA","isFork":false,"description":"Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods","allTopics":["machine-learning","deep-learning","physics","pytorch","nvidia-gpu"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":17,"issueCount":93,"starsCount":749,"forksCount":157,"license":"Apache License 2.0","participation":[1,4,4,2,1,9,10,10,6,1,2,1,3,0,12,9,2,5,2,3,7,7,8,7,10,5,5,0,1,6,4,9,4,6,4,6,6,10,2,3,2,3,7,10,5,5,10,2,2,2,5,2],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T21:31:45.759Z"}},{"type":"Public","name":"NVFlare","owner":"NVIDIA","isFork":false,"description":"NVIDIA Federated Learning Application Runtime Environment","allTopics":["python"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":20,"issueCount":23,"starsCount":563,"forksCount":152,"license":"Apache License 2.0","participation":[2,8,0,11,10,12,10,14,7,17,10,9,15,20,18,15,6,5,9,16,13,15,7,8,11,10,14,16,3,15,8,7,9,11,3,3,4,0,7,4,9,4,12,8,14,6,11,8,5,8,7,11],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T21:30:19.272Z"}},{"type":"Public","name":"cuda-quantum","owner":"NVIDIA","isFork":false,"description":"C++ and Python support for the CUDA Quantum programming model for heterogeneous quantum-classical workflows","allTopics":["python","cpp","quantum","quantum-computing","quantum-programming-language","quantum-algorithms","quantum-machine-learning","unitaryhack"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":39,"issueCount":239,"starsCount":413,"forksCount":139,"license":"Other","participation":[7,22,15,33,31,25,16,6,21,26,4,12,23,6,15,24,8,15,20,15,18,28,18,4,21,9,13,5,3,9,6,20,5,17,16,12,16,25,25,21,20,9,7,8,14,11,15,26,11,5,8,15],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T21:27:09.079Z"}},{"type":"Public","name":"spark-rapids","owner":"NVIDIA","isFork":false,"description":"Spark RAPIDS plugin - accelerate Apache Spark with GPUs","allTopics":["big-data","gpu","rapids","spark"],"primaryLanguage":{"name":"Scala","color":"#c22d40"},"pullRequestCount":28,"issueCount":1341,"starsCount":745,"forksCount":221,"license":"Apache License 2.0","participation":[10,7,15,11,18,19,46,30,66,12,17,18,21,12,23,41,19,18,24,28,24,25,53,35,51,33,21,10,24,19,9,14,45,30,18,15,13,23,12,12,6,14,7,13,4,12,5,17,17,22,21,16],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T21:26:28.439Z"}},{"type":"Public","name":"spark-rapids-tools","owner":"NVIDIA","isFork":false,"description":"User tools for Spark RAPIDS","allTopics":[],"primaryLanguage":{"name":"Scala","color":"#c22d40"},"pullRequestCount":3,"issueCount":189,"starsCount":42,"forksCount":34,"license":"Apache License 2.0","participation":[1,4,8,8,10,4,6,1,8,6,4,8,13,2,5,9,2,7,4,5,6,0,6,1,3,3,3,4,4,4,3,5,11,3,5,2,7,4,2,2,11,9,12,13,5,10,10,2,5,7,5,20],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T21:07:49.171Z"}},{"type":"Public","name":"cccl","owner":"NVIDIA","isFork":false,"description":"CUDA C++ Core Libraries","allTopics":["modern-cpp","parallel-computing","gpu-acceleration","cuda-kernels","gpu-computing","parallel-algorithm","parallel-programming","nvidia-gpu","gpu-programming","cuda-library","cpp-programming","cuda-programming","accelerated-computing","cuda-cpp","cpp","hpc","gpu","cuda","nvidia"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":41,"issueCount":614,"starsCount":888,"forksCount":114,"license":"Other","participation":[11,98,32,37,34,12,31,23,30,40,14,12,33,30,30,27,27,50,25,15,33,11,15,11,9,10,10,0,1,4,7,13,7,4,13,12,14,23,18,7,8,9,11,21,8,6,20,16,10,9,11,19],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T21:00:39.763Z"}},{"type":"Public","name":"DALI","owner":"NVIDIA","isFork":false,"description":"A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.","allTopics":["python","machine-learning","deep-learning","neural-network","mxnet","gpu","image-processing","pytorch","gpu-tensorflow","data-processing","data-augmentation","audio-processing","paddle","image-augmentation","fast-data-pipeline"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":38,"issueCount":179,"starsCount":4957,"forksCount":608,"license":"Apache License 2.0","participation":[4,7,7,6,8,4,7,15,6,6,9,10,11,3,4,9,13,5,6,15,11,8,13,12,23,17,6,0,0,7,5,9,9,5,8,15,5,12,9,11,12,4,11,12,8,6,3,9,7,8,9,15],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T20:59:26.865Z"}},{"type":"Public","name":"gpu-operator","owner":"NVIDIA","isFork":false,"description":"NVIDIA GPU Operator creates/configures/manages GPUs atop Kubernetes","allTopics":["kubernetes","gpu","cuda","nvidia"],"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":15,"issueCount":233,"starsCount":1225,"forksCount":234,"license":"Apache License 2.0","participation":[0,12,4,3,17,4,17,14,4,12,21,19,43,21,36,63,43,31,16,8,12,17,17,1,20,5,4,2,3,2,0,4,5,5,8,1,11,16,13,18,6,0,7,7,17,11,6,1,5,0,3,17],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T20:56:23.059Z"}},{"type":"Public","name":"cuCollections","owner":"NVIDIA","isFork":false,"description":"","allTopics":["datastructures","cpp","gpu","cuda","hashmap","cpp17","hashset","hashtable"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":16,"issueCount":65,"starsCount":441,"forksCount":78,"license":"Apache License 2.0","participation":[0,3,4,3,2,0,3,4,2,2,3,4,1,2,1,2,2,5,0,0,1,1,5,2,1,2,5,3,3,2,0,3,2,5,1,1,0,0,1,5,1,0,4,2,3,1,3,1,2,3,3,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T20:52:06.143Z"}},{"type":"Public","name":"warp","owner":"NVIDIA","isFork":false,"description":"A Python framework for high performance GPU simulation and graphics","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":7,"issueCount":35,"starsCount":1767,"forksCount":150,"license":"Other","participation":[26,44,36,27,13,43,7,7,17,32,20,44,12,1,19,32,6,32,34,58,32,33,20,5,24,9,37,3,1,15,36,31,16,8,9,17,47,49,40,49,17,7,11,17,43,30,43,25,25,34,28,37],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T20:48:55.828Z"}},{"type":"Public","name":"JAX-Toolbox","owner":"NVIDIA","isFork":false,"description":"JAX-Toolbox","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":39,"issueCount":111,"starsCount":193,"forksCount":34,"license":"Apache License 2.0","participation":[3,8,6,10,15,5,6,7,4,5,17,7,6,8,9,11,10,12,5,8,6,7,7,7,5,8,8,3,0,17,12,12,12,10,12,13,13,17,10,8,6,0,8,10,1,3,18,7,6,6,7,6],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T20:28:47.174Z"}},{"type":"Public","name":"gontainer","owner":"NVIDIA","isFork":false,"description":"Dependency Injection container for Golang projects.","allTopics":[],"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":0,"issueCount":1,"starsCount":27,"forksCount":2,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,12,7,3,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,2,0,0,0,0,0,0,0,0,0,0,0,0,1,2,0,0,1,0,1,1,7],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T20:26:03.022Z"}},{"type":"Public","name":"MatX","owner":"NVIDIA","isFork":false,"description":"An efficient C++17 GPU numerical computing library with Python-like syntax","allTopics":["hpc","gpu","cuda","gpgpu","gpu-computing"],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":3,"issueCount":28,"starsCount":1126,"forksCount":75,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":[0,1,4,8,7,19,9,6,3,1,6,4,5,0,5,5,3,1,2,3,6,2,4,1,1,10,5,0,1,15,8,3,0,1,2,2,2,0,5,5,2,1,4,2,2,1,3,2,8,16,12,2],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T20:13:38.069Z"}},{"type":"Public","name":"NeMo-Framework-Launcher","owner":"NVIDIA","isFork":false,"description":"NeMo Megatron launcher and tools","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":11,"issueCount":23,"starsCount":407,"forksCount":120,"license":"Apache License 2.0","participation":[5,10,3,4,6,18,9,17,14,1,12,6,25,16,2,1,16,28,12,7,6,12,9,13,25,33,29,10,7,24,23,30,19,9,61,20,40,28,18,40,6,4,15,20,23,18,21,40,41,13,14,17],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T20:10:07.684Z"}},{"type":"Public","name":"earth2studio","owner":"NVIDIA","isFork":false,"description":"Open-source deep-learning framework for exploring, building and deploying AI weather/climate workflows.","allTopics":["weather","ai","deep-learning","climate-science"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":1,"issueCount":5,"starsCount":40,"forksCount":8,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,10,14,6,5,6,6,3,4,5,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T19:26:40.405Z"}},{"type":"Public","name":"gpu-driver-container","owner":"NVIDIA","isFork":false,"description":"The NVIDIA GPU driver container allows the provisioning of the NVIDIA driver through the use of containers.","allTopics":[],"primaryLanguage":{"name":"Shell","color":"#89e051"},"pullRequestCount":3,"issueCount":4,"starsCount":49,"forksCount":28,"license":"Apache License 2.0","participation":[0,5,0,0,4,2,2,12,2,2,5,3,9,2,4,2,0,2,7,5,2,7,2,1,1,0,0,0,0,0,2,5,3,7,1,1,5,13,1,1,10,2,0,2,1,0,1,1,3,0,0,4],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T19:17:11.556Z"}},{"type":"Public","name":"tacotron2","owner":"NVIDIA","isFork":false,"description":"Tacotron 2 - PyTorch implementation with faster-than-realtime inference","allTopics":[],"primaryLanguage":{"name":"Jupyter Notebook","color":"#DA5B0B"},"pullRequestCount":24,"issueCount":189,"starsCount":4945,"forksCount":1367,"license":"BSD 3-Clause \"New\" or \"Revised\" License","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T18:49:15.976Z"}},{"type":"Public","name":"vgpu-device-manager","owner":"NVIDIA","isFork":false,"description":"NVIDIA vGPU Device Manager manages NVIDIA vGPU devices on top of Kubernetes","allTopics":[],"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":6,"issueCount":0,"starsCount":81,"forksCount":14,"license":"Apache License 2.0","participation":[0,0,0,0,5,5,0,0,0,0,0,0,0,0,0,2,0,2,2,0,0,0,2,0,0,0,0,4,3,0,0,0,0,0,0,0,0,0,0,28,0,0,0,11,6,2,1,1,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T18:42:24.373Z"}},{"type":"Public","name":"cloud-native-docs","owner":"NVIDIA","isFork":false,"description":"Documentation repository for NVIDIA Cloud Native Technologies","allTopics":["kubernetes","containers","kubernetes-operator"],"primaryLanguage":{"name":"CSS","color":"#563d7c"},"pullRequestCount":7,"issueCount":3,"starsCount":11,"forksCount":13,"license":"Apache License 2.0","participation":[2,5,2,10,10,9,4,16,2,2,6,11,11,2,5,11,8,0,16,2,2,2,2,4,4,18,4,2,6,2,10,9,9,12,15,4,0,5,14,5,5,0,5,7,6,21,21,3,2,1,2,1],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T18:41:09.015Z"}},{"type":"Public","name":"knavigator","owner":"NVIDIA","isFork":false,"description":"knavigator is a development, testing, and optimization toolkit for AI/ML scheduling systems at scale on Kubernetes.","allTopics":[],"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":1,"issueCount":0,"starsCount":38,"forksCount":5,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,5,2,0,5,45,27,7,2,3],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T18:12:48.273Z"}},{"type":"Public","name":"mig-parted","owner":"NVIDIA","isFork":false,"description":"MIG Partition Editor for NVIDIA GPUs","allTopics":[],"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":6,"issueCount":15,"starsCount":152,"forksCount":36,"license":"Apache License 2.0","participation":[0,0,0,0,7,0,0,0,1,0,0,0,4,0,0,2,0,0,7,1,5,0,3,0,0,0,0,0,0,0,0,0,27,0,2,0,0,10,0,1,0,0,1,20,18,5,3,0,3,1,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T18:07:17.000Z"}},{"type":"Public","name":"aistore","owner":"NVIDIA","isFork":false,"description":"AIStore: scalable storage for AI applications","allTopics":["object-storage","multiple-backends","distributed-shuffle","deploy-anywhere","linear-scalability","etl-offload","small-file-datasets","network-of-clusters"],"primaryLanguage":{"name":"Go","color":"#00ADD8"},"pullRequestCount":0,"issueCount":0,"starsCount":1141,"forksCount":144,"license":"MIT License","participation":[15,16,17,14,7,17,27,19,20,20,27,18,25,15,26,18,17,10,15,12,16,12,8,19,14,13,14,11,9,17,15,18,23,17,26,18,18,20,25,20,24,14,13,14,22,16,23,21,15,18,8,10],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T18:03:37.236Z"}},{"type":"Public","name":"stdexec","owner":"NVIDIA","isFork":false,"description":"`std::execution`, the proposed C++ framework for asynchronous and parallel programming.","allTopics":[],"primaryLanguage":{"name":"C++","color":"#f34b7d"},"pullRequestCount":13,"issueCount":75,"starsCount":1331,"forksCount":141,"license":"Apache License 2.0","participation":[12,3,2,5,10,11,6,3,9,23,39,22,14,13,25,17,7,20,22,16,32,5,23,23,14,4,10,7,15,28,11,14,15,15,7,14,5,18,22,7,9,11,1,0,10,9,36,43,6,7,6,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T17:50:59.647Z"}},{"type":"Public","name":"cloudai","owner":"NVIDIA","isFork":false,"description":"CloudAI Benchmark Framework","allTopics":[],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":2,"issueCount":0,"starsCount":16,"forksCount":9,"license":"Apache License 2.0","participation":[0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,18,46,37,66,68],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T17:45:08.385Z"}},{"type":"Public","name":"modulus-sym","owner":"NVIDIA","isFork":false,"description":"Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts","allTopics":["machine-learning","deep-learning","physics","pytorch","nvidia-gpu"],"primaryLanguage":{"name":"Python","color":"#3572A5"},"pullRequestCount":6,"issueCount":48,"starsCount":126,"forksCount":54,"license":"Apache License 2.0","participation":[1,1,4,0,0,4,5,1,1,0,1,1,0,1,3,3,1,0,0,1,1,3,2,3,1,2,1,0,0,1,1,2,1,1,0,2,1,1,2,0,0,1,0,2,1,0,0,0,0,0,0,0],"lastUpdated":{"hasBeenPushedTo":true,"timestamp":"2024-06-12T17:30:04.309Z"}}],"repositoryCount":476,"userInfo":null,"searchable":true,"definitions":[],"typeFilters":[{"id":"all","text":"All"},{"id":"public","text":"Public"},{"id":"source","text":"Sources"},{"id":"fork","text":"Forks"},{"id":"archived","text":"Archived"},{"id":"template","text":"Templates"}],"compactMode":false},"title":"Repositories"}