A curated list of foundation models for vision and language tasks
-
Updated
Jun 12, 2024
A curated list of foundation models for vision and language tasks
Orchestrate Swarms of Agents From Any Framework Like OpenAI, Langchain, and Etc for Business Operation Automation. Join our Community: https://discord.gg/DbjBMJTSWD
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
Fast inference engine for Transformer models
[CVPR 2024] "CFAT: Unleashing Triangular Windows for Image Super-resolution"
Official implementation of the CVPR 2024 paper "FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance, Head-pose, and Facial Expression Features"
Cerbrec Graphbook is the deep learning framework that brings visibility and intelligent guidance to researchers.
Comprehensive guide to time series forecasting using deep learning techniques, with practical examples and tutorials.
Harnessing large language models over transformer models for detecting Bengali depressive social media text: A comprehensive study
Faster alternative to Metal Performance Shaders
Task Complexity Classifier using Transformer-based NLP model based on Bloom's Taxonomy
Slides from my NLP course on the transformer architecture
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
pytorch下基于transformer / LSTM模型的彩票预测
Implement, train, tune, and evaluate a transformer model for antibody classification with this step-by-step code.
Pre-training a Transformer from scratch.
Final project for the Speaker Recognition course on Udemy, 机器之心, 深蓝学院 and 语音之家
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
This project offers a deeper exploration of tttzof351's "Simple Transformer TTS" codebase, enhanced with insights from Gemini Advanced, Google AI's language model.
Visualizing query-key interactions in language + vision transformers
Add a description, image, and links to the transformer-models topic page so that developers can more easily learn about it.
To associate your repository with the transformer-models topic, visit your repo's landing page and select "manage topics."