Maschinelles Lernen · GitHub

Robust Video Matting in PyTorch, TensorFlow, TensorFlow.js, ONNX und 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 😊😊😊😊

This repository showcases a selection of machine learning projects undertaken to understand and master various ML concepts. Each project reflects commitment to applying theoretical knowledge to practical scenarios, demonstrating proficiency in machine learning techniques and tools.

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.

Eine benutzerfreundliche Python-Bibliothek für Zeitreihenprognosen und Anomalieerkennung.

• 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.

Hochwertige Datensätze und visuelle KI-Modelle verfeinern

• 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.

Hochwertige Implementierung von Deep-Reinforcement-Learning-Algorithmen in einer einzelnen Datei mit forschungsfreundlichen Funktionen (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

VIP cheatsheets for Stanford's CS 230 Deep Learning

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).

Parametric differentiable curves with PyTorch for continuous embeddings, shape-restricted models, or KANs

• Differentiable: Custom autograd function ensures gradients flow properly through the curve evaluation.
• Vectorized: Vectorized operations for efficient batch and multi-curve evaluation.