Deep Learning for humans
-
Updated
Dec 27, 2024 - Python
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, ... 🧠
Deepfakes Software For All
💫 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.
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.
DeepFaceLab is the leading software for creating deepfakes.
Machine learning, in numpy
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)
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
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.
A resource repository for 3D machine learning
TensorFlow-based neural network library
Add a description, image, and links to the neural-networks topic page so that developers can more easily learn about it.
To associate your repository with the neural-networks topic, visit your repo's landing page and select "manage topics."