There are 239 repositories under neural-networks topic.
Deep Learning for humans
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
DeepFaceLab is the leading software for creating deepfakes.
PyTorch Tutorial for Deep Learning Researchers
DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
machine learning and deep learning tutorials, articles and other resources
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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)
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
Minimal and clean examples of machine learning algorithms implementations
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow-based neural network library
A resource repository for 3D machine learning
Keras implementations of Generative Adversarial Networks.
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
Lab Materials for MIT 6.S191: Introduction to Deep Learning
A customisable 3D platform for agent-based AI research
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Build Graph Nets in Tensorflow
This repository is a compilation of well-written, step-by-step guides for learning Data Science.
Run Keras models in the browser, with GPU support using WebGL
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Repo for the Deep Reinforcement Learning Nanodegree program
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
links to conference publications in graph-based deep learning