Open Source Machine Learning Projects
Discover 191 open source Machine Learning repositories from GitHub, each with an analysis of what it does, key features, use cases and alternatives. Machine Learning projects here are most often combined with Python, Deep Learning and LLM. Last updated October 4, 2026.
191 repositories · updated October 4, 2026
plexe: Build Machine Learning Models from Prompts
Plexe turns a natural-language description and tabular dataset into a trained, packaged machine learning model through a multi-agent workflow. It is aimed at developers and data teams who want to automate model selection and iteration while retaining control over configuration and deployment.
fluxgym: Train FLUX LoRAs with a Web UI
FluxGym provides a web interface for training FLUX LoRAs using Kohya sd-scripts, with options designed for 12GB, 16GB, and 20GB VRAM systems. It suits creators who want a guided workflow without giving up Kohya’s advanced training options.
FinRL-Trading: Build and Deploy Quantitative Trading Strategies
FinRL-Trading is a modular Python system for developing, backtesting, and executing quantitative trading strategies. Its shared portfolio-weight interface connects strategy components to backtests and Alpaca trading, making it useful for researchers and practitioners evaluating end-to-end workflows.
FinRL: Research Financial Trading with Reinforcement Learning
FinRL is an educational and research framework for building reinforcement-learning trading agents. It provides a train-test-trade workflow and market data processing, but its maintainers direct production-oriented development to FinRL-Trading.
FinGPT: Adapt Language Models for Financial Tasks
FinGPT provides financial datasets, fine-tuned language models, benchmarks, and workflows for tasks such as sentiment analysis and forecasting. It suits researchers and developers adapting open models to finance, with local GPU inference or supported cloud APIs.
ChatTTS: Generate Expressive Speech for Dialogue
ChatTTS is a generative text-to-speech model built for dialogue, including assistant-style speech. It supports Chinese and English, multiple speakers, and controls for prosody such as pauses and laughter.
LivePortrait: Animate Portraits from Images and Video
LivePortrait is a PyTorch project for animating human and animal portraits using a driving video or motion template. It supports portrait video editing and offers command-line inference and a Gradio interface.
Leffa: Generate Controllable Person Images
Leffa is a diffusion-based framework for virtual try-on and pose transfer that aims to preserve fine-grained details from reference images. It is suited to researchers and developers building or evaluating controllable person-image generation systems.
DeepFaceLive: Real-Time Face Swapping for Video
DeepFaceLive is a Windows desktop app for swapping faces from a webcam or video in real time, and for animating a still face image. It targets streamers and video-call users with a compatible GPU.
chatterbox-vllm: Generate Speech with Chatterbox on vLLM
A vLLM port of the Chatterbox text-to-speech model, built to improve GPU throughput and support batched generation. It suits developers with compatible Nvidia hardware who can work with an early, changing implementation.
face-cropper: Crop and Align Faces in Images
A Python tool that detects faces and crops them using MediaPipe FaceDetection and FaceMesh. It can optionally remove background pixels and correct face roll, making it useful for image preprocessing and lightweight real-time applications.