Maschinelles Lernen · GitHub

Machine learning-Stanford University

TorchCFM: a Conditional Flow Matching library

Automated Machine Learning with scikit-learn

A Unified Framework for Surface Reconstruction

C++ implementations of PP-OCRv3/4/5/6 using ncnn for inference.

Rust library for quantitative finance.

Binary Trading AI Bot is a project idea aimed at developing an AI-powered bot for binary trading. The bot utilizes machine learning algorithms to predict the direction of the next candle (whether it will move up or down) with high accuracy.

• Predictive Modeling: Utilize machine learning algorithms to analyze historical trading data and forecast the direction of the next candle.
• Real-time Data Integration: Incorporate real-time market data feeds to ensure the bot has access to the latest information for making informed trading decisions.

An open source library and framework for deep learning on satellite and aerial imagery.

[CVPR 2024 Oral] Rethinking Inductive Biases for Surface Normal Estimation

SigmaRL: A Sample-Efficient and Generalizable Multi-Agent Reinforcement Learning Framework for Motion Planning

An awesome face technology repository.

Open source Python library for building bioimage analysis pipelines

🌸 Run LLMs at home, BitTorrent-style. Fine-tuning and inference up to 10x faster than offloading

Code for detecting bird vocalizations in audio recordings using an object detection model.

FLUX 3 Action: open weights 7B world action model from Black Forest Labs. Train, fine-tune and run action prediction for robots (DROID, SO-101), simulators and games.