Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

Personal projects

Exploring a broader sandbox ecosystems enabling for AI. Investigating Deep learning algorithms on unstructured content form on the web. Evaluating the intersection of Software and Business in the context of AI, Globalization, CSR and the Last mile with an emphasis on Deep learning algorithms in the broader web.

Examples of Machine Learning code using Comet.ml

Repo Records from the 42 WOB AI Community

Explored calibration in Convolutional Neural Networks (CNNs) using the CIFAR-10 dataset, focusing on binary classification of birds and cats. The project encompasses data preprocessing, model training, and evaluation, with a deep dive into calibration techniques. Weight & Biases library for monitoring training processes and model performance.

Study and implementation about deep learning models, architectures, applications and frameworks

Gathers deep learning models for Stock forecasting including trading bots and simulations

Projects of the deep learning course

Back-ended CLI/DB for analisis based in TCM and acupuncture's methods of pulse's and thong's exams diagnosing syndromes, meridians states using DFF-perceptrons, as also, automatized treatments.

A computational approach tool to predict Head and Neck Cancer affected patients from their single cell RNA seq data.

This repository includes files of work for Suicidal Ideation detection based on social media dataset using semantic, contextual and graph neural network based hybrid approach

Deep Learning architectures implemented in PyTorch Lightning

Unlock deep learning's secrets! Dive into fundamentals, master advanced techniques, and ignite creativity with hands-on projects. Join a vibrant community, push boundaries, and unleash AI's full potential. Begin your journey now!

Comprehensive AI algorithms with explanations, resources, and Python implementations.

TinyTensor is an open-source deep learning library built from scratch in Python, inspired by Joel Grus' approach.

Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes

Practical comparison of several DQN based approaches on a basic navigation problem in Minecraft

Introduction to Scientific Programming and Machine Learning with Julia