#Neural-networks
Showing 60 of 578 repositories tagged #neural-networks, ranked by stars
๐งโ๐ซ 60+ Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
Deep Learning for humans
Deepfakes Software For All
๐ซ Industrial-strength Natural Language Processing (NLP) in Python
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.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
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.
DeepFaceLab is the leading software for creating deepfakes.
้ฑ้ก้นใ็ฅ็ป็ฝ็ปไธๆทฑๅบฆๅญฆไน ใ๏ผ่ฒๅ ฌ่ฑไนฆ๏ผ็่ฎบไนฆ v2 ไธ้่ฏ็
machine learning and deep learning tutorials, articles and other resources
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)
Machine learning, in numpy
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Minimal and clean examples of machine learning algorithms implementations
TensorFlow CNN for fast style transfer โก๐ฅ๐จ๐ผ
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
๐ธ Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
A resource repository for 3D machine learning
TensorFlow-based neural network library
Keras implementations of Generative Adversarial Networks.
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
A flexible framework of neural networks for deep learning
Deep Reinforcement Learning for Keras.
Supercharge Your Model Training
Build Graph Nets in Tensorflow
A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2026 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Probabilistic time series modeling in Python
This repository is a compilation of free resources for learning Data Science.
Image augmentation library in Python for machine learning.
A PyTorch Library for Accelerating 3D Deep Learning Research
links to conference publications in graph-based deep learning
A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
Run Keras models in the browser, with GPU support using WebGL
Time series forecasting with PyTorch
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Relax! Flux is the ML library that doesn't make you tensor
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
LLM training code for Databricks foundation models
Probabilistic reasoning and statistical analysis in TensorFlow
Plain python implementations of basic machine learning algorithms
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
Learning to Learn in TensorFlow
Lightweight library to build and train neural networks in Theano
This is Andrew NG Coursera Handwritten Notes.
๐ง ๐ฌ Articles I wrote about machine learning, archived from MachineCurve.com.
๐ All-in-one web-based IDE specialized for machine learning and data science.
Hummingbird compiles trained ML models into tensor computation for faster inference.
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Evaluation and Tracking for LLM Experiments and AI Agents
All notes and materials for the CS229: Machine Learning course by Stanford University
JAX-based neural network library
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Open source neural network chess engine with GPU acceleration and broad hardware support.
a delightful machine learning tool that allows you to train, test, and use models without writing code