machine-learning

Everything you need to know to build your own RAG application

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2509.03505

A curated list of awesome responsible machine learning resources.

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.

A modern Anki custom scheduling based on Free Spaced Repetition Scheduler algorithm

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Quant/Algorithm trading resources with an emphasis on Machine Learning

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

TVM Documentation in Chinese Simplified / TVM 中文文档

A retargetable MLIR-based machine learning compiler and runtime toolkit.

The official CLI and Python client for the Hugging Face Hub.

Superfast AI decision making and intelligent processing of multi-modal data.

An extensive node suite that enables ComfyUI to process 3D inputs (Mesh & UV Texture, etc) using cutting edge algorithms (3DGS, NeRF, etc.)

Maestro: Netflix’s Workflow Orchestrator

Fast Python Collaborative Filtering for Implicit Feedback Datasets

Jupyter notebooks from the scikit-learn video series

This is Andrew NG Coursera Handwritten Notes.

A python library for self-supervised learning on images.

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Java dataframe and visualization library

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

High-Performance Symbolic Regression in Python and Julia

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

AI Infra / AI Orchestration / AI Control Plane

The fast.ai course notebooks

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

大厂发布的AI落地实践、顶尖实验室的最新论文、工业界的真实踩坑记录