Popular GitHub Repositories for Dataset Regression

100 Days of ML Coding

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

pix2tex: Using a ViT to convert images of equations into LaTeX code.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

The "Python Machine Learning (1st edition)" book code repository and info resource

Open source annotation tool for machine learning practitioners.

A powerful tool for creating fine-tuning datasets for LLM

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

Techniques for deep learning with satellite & aerial imagery

An open-source, low-code machine learning library in Python

BISHENG is an open LLM devops platform for next generation Enterprise AI applications. Powerful and comprehensive features include: GenAI workflow, RAG, Agent, Unified model management, Evaluation, SFT, Dataset Management, Enterprise-level System Management, Observability and more.

A unified framework for machine learning with time series

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

[CVPR 2023, top-10%] Authors official PyTorch implementation of the "Attribute-preserving Face Dataset Anonymization via Latent Code Optimization".

A Collection of Variational Autoencoders (VAE) in PyTorch.

Postgres with GPUs for ML/AI apps.

Code for Tensorflow Machine Learning Cookbook