There are 182 repositories under neural-networks topic.
Deep Learning for humans
Deepfakes Software For All
DeepFaceLab is the leading software for creating deepfakes.
PyTorch Tutorial for Deep Learning Researchers
💫 Industrial-strength Natural Language Processing (NLP) in Python
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.
A High-Quality Real Time Upscaler for Anime Video
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
Machine learning, in numpy
TensorFlow CNN for fast style transfer ⚡🖥🎨🖼
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
TensorFlow-based neural network library
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
Minimal and clean examples of machine learning algorithms implementations
Keras implementations of Generative Adversarial Networks.
A resource repository for 3D machine learning
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
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
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Segmentation models with pretrained backbones. PyTorch.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Deep Reinforcement Learning for Keras.
Build Graph Nets in Tensorflow
Run Keras models in the browser, with GPU support using WebGL
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.
Image augmentation library in Python for machine learning.
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.
Repo for the Deep Reinforcement Learning Nanodegree program
Learning to Learn in TensorFlow
Lightweight library to build and train neural networks in Theano
PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）