Machine Learning · GitHub

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX, CoreML!

PyC (Pytorch Concepts) is a PyTorch-based library for designing concept-based interpretable deep learning models.

Fun-ASR speech recognition models, with native Hugging Face Transformers support for Fun-ASR-Nano and separate FunASR, vLLM and llama.cpp deployment paths.

• Far-field High-noise Recognition: Deeply optimized for far-distance sound pickup and high-noise scenarios (such as conference rooms, in-vehicle environments, industrial sites, etc.), improving recognition accuracy to 93%.
• Supports 7 major dialects: Wu, Cantonese, Min, Hakka, Gan, Xiang, Jin

Python hands on tutorial with 50+ Python Application (10 lines of code) By @xiaowuc2

Books / PDFS / EPUBS for different fields of programming . READ GROW AND ENJOY 😊😊😊😊

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

Portable AI music generator — full songs with vocals, covers, music videos. One-click install, 100% offline, NVIDIA GPU.

• Save as, and a Files panel — songs, stems, MIDI, lyric sheets, scores and videos are saved where you say, in Windows' own Save dialog, and the Files panel shows each save.
• A proxy for the whole studio — HTTP, HTTPS, SOCKS5 or SOCKS4, with a login: model downloads, Hugging Face, OpenRouter and updates go through it.

A python library for user-friendly forecasting and anomaly detection on time series.

• Forecasting Models: A large collection of forecasting models for regression as well as classification tasks; from statistical models (such as ARIMA) to deep learning models (such as N-BEATS). See the forecasting models below.
• Multivariate Support: TimeSeries can be multivariate - i.e., contain multiple time-varying dimensions/columns instead of a single scalar value. Many models can consume and produce multivariate series.

Refine high-quality datasets and visual AI models

• Native Annotation: Create and edit 2D and 3D labels directly in the App or integrate with your favorite annotation tools — then curate, QA, and iterate, all in one platform.
• Visualize Complex Datasets: Easily explore images, videos, and associated labels in a powerful visual interface.

High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Visual Novel Character Creation Suite is a comprehensive tool for creating character sprites for visual novels. It allows you to create unique characters with a consistent appearance across all images, which was previously a challenging task when using neural networks.

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

Master AI inference, AI agent harness systems, and hardware engineering — then design a physical AI chip. That is the goal.

An optimized handwritten digit recognition model delivering exceptional accuracy, high-speed performance, and compatibility with low-end hardware, supported by comprehensive documentation, experiment tracking, data-driven decision-making, effective troubleshooting, and a modular project structure.

• Maximum execution speed
• Highly robust optimization