Best Open Source neural networks Libraries
A curated list of the most popular GitHub repositories tagged with neural networks. Select any project to visualize its architecture and dive into the codebase using RepoMind's AI engine.
#1rasbt/LLMs-from-scratch
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
#2labmlai/annotated_deep_learning_paper_implementations
🧑🏫 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, ... 🧠
#3keras-team/keras
Deep Learning for humans
#4deepfakes/faceswap
Deepfakes Software For All
#5explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
#6yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
#7microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
#8Unity-Technologies/ml-agents
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.
#9k4yt3x/video2x
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
#10ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
#11NVIDIA-NeMo/NeMo
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)
#12ddbourgin/numpy-ml
Machine learning, in numpy
#13google-deepmind/sonnet
TensorFlow-based neural network library
#14yzhao062/pyod
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
#15eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
#16Nyandwi/machine_learning_complete
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
#17transcranial/keras-js
Run Keras models in the browser, with GPU support using WebGL
#18blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
#19sktime/pytorch-forecasting
Time series forecasting with PyTorch
#20Spandan-Madan/DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.