neural-networks
There are 9809 repositories under neural-networks topic.
keras-team/keras
Deep Learning for humans
labmlai/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, ... 🧠
deepfakes/faceswap
Deepfakes Software For All
iperov/DeepFaceLab
DeepFaceLab is the leading software for creating deepfakes.
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
mozilla/DeepSpeech
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.
bloc97/Anime4K
A High-Quality Real Time Upscaler for Anime Video
Unity-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.
ujjwalkarn/Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
ddbourgin/numpy-ml
Machine learning, in numpy
microsoft/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
janishar/mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
lengstrom/fast-style-transfer
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
NVIDIA/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)
lexfridman/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
google-deepmind/sonnet
TensorFlow-based neural network library
timzhang642/3D-Machine-Learning
A resource repository for 3D machine learning
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
bigscience-workshop/petals
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
yzhao062/pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
aamini/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
google-deepmind/lab
A customisable 3D platform for agent-based AI research
tensorpack/tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
chainer/chainer
A flexible framework of neural networks for deep learning
keras-rl/keras-rl
Deep Reinforcement Learning for Keras.
google-deepmind/graph_nets
Build Graph Nets in Tensorflow
mosaicml/composer
Supercharge Your Model Training
mdbloice/Augmentor
Image augmentation library in Python for machine learning.
therealsreehari/Learn-Data-Science-For-Free
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.
transcranial/keras-js
Run Keras models in the browser, with GPU support using WebGL
blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
udacity/deep-reinforcement-learning
Repo for the Deep Reinforcement Learning Nanodegree program
Spandan-Madan/DeepLearningProject
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
naganandy/graph-based-deep-learning-literature
links to conference publications in graph-based deep learning