1.k4yt3x / video2x
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
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28 repositories by Attention Score · Oct 27, 2026 – Nov 2, 2026 (UTC)
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
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)
邱锡鹏《神经网络与深度学习》第二版与通识版:电子书、章节目录、学习资源与勘误。
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
🧑🏫 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, ... 🧠
A High-Quality Real Time Upscaler for Anime Video
Deep Learning for humans
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.
💫 Industrial-strength Natural Language Processing (NLP) in Python
🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading
machine learning and deep learning tutorials, articles and other resources
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
A resource repository for 3D machine learning
PyTorch Tutorial for Deep Learning Researchers
Deepfakes Software For All
List of articles related to deep learning applied to music
links to conference publications in graph-based deep learning
Nx-powered Neural Networks
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.
Message Passing Neural Networks for Molecule Property Prediction
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.
A JavaScript library like PyTorch, with GPU acceleration.
Ruby library for interfacing with FANN (Fast Artificial Neural Network)
The V Tensor Library
Optimising chemical reactions using machine learning
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.