Adkid-Zephyr / oral-paper-skill

向顶会优秀论文学科研｜Oral Paper Skill — 从 883 篇 Oral 论文摘要中“蒸馏”共通做法，用于论文对照改进与学习复盘 · Skill + prompt pack (CN/EN). Learn from 883 Oral paper abstracts to improve your research and writing.

Amulopapa67 / open-yonsei-korean-vocabulary

《延世韩国语》1–6 册开源词源单词本：中韩英对照、词源追溯、可编辑数据与自制单词书生成器

Omni-Scientist / Awesome-AI-Scientist

🧪 Awesome list of AI Scientist papers, systems, benchmarks, datasets and open-source platforms.

harrrshall / barunlm-35m

BarunLM-35M: a parameter-efficient 35M base language model trained on 5.7B tokens

davidalmeida90 / quant-models

Open-source quantitative finance models in Python: option pricing and Greeks, volatility surfaces, deep hedging, portfolio construction and Monte Carlo. Every model runs on free data, with the full write-up on davidariasfinance.com

Krishita17 / PhantomTap

A Flipper Zero that stops guessing and starts reasoning: ML-guided RFID/NFC fuzzing & access-control auditing that turns raw card reads into a prioritized, explainable security assessment. Defensive-use only.

explosion / spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

Lightning-AI / pytorch-lightning

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

MLEveryday / 100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

recommenders-team / recommenders

Best Practices on Recommendation Systems

onnx / onnx

Open standard for machine learning interoperability

arc53 / DocsGPT

Private AI platform for agents, assistants and enterprise search. Built-in Agent Builder, Deep research, Document analysis, Multi-model support, and API connectivity for agents.

optuna / optuna

A hyperparameter optimization framework

flairNLP / flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

apache / tvm

Open Machine Learning Compiler Framework

ludwig-ai / ludwig

Low-code framework for building custom LLMs, neural networks, and other AI models

kornia / kornia

🐍 Geometric Computer Vision Library for Spatial AI

wandb / wandb

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

rushter / MLAlgorithms

Minimal and clean examples of machine learning algorithms implementations

triton-inference-server / server

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

kedro-org / kedro

Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.

Netflix / metaflow

Build, Manage and Deploy AI/ML Systems

yzhao062 / pyod

A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

google-deepmind / sonnet

TensorFlow-based neural network library

xorbitsai / inference

Swap GPT for any LLM by changing a single line of code. Xinference lets you run open-source, speech, and multimodal models on cloud, on-prem, or your laptop — all through one unified, production-ready inference API.

modelscope / modelscope

ModelScope: bring the notion of Model-as-a-Service to life.

pyro-ppl / pyro

Deep universal probabilistic programming with Python and PyTorch

lazyprogrammer / machine_learning_examples

A collection of machine learning examples and tutorials.

mage-ai / mage-ai

🧙 Build, run, and manage data pipelines for integrating and transforming data.

mikel-brostrom / boxmot

BoxMOT: Pluggable Python and C++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

lmcinnes / umap

Uniform Manifold Approximation and Projection

MaartenGr / BERTopic

Leveraging BERT and c-TF-IDF to create easily interpretable topics.

2FastLabs / agent-squad

Flexible and powerful framework for managing multiple AI agents and handling complex conversations

HIPS / autograd

Efficiently computes derivatives of NumPy code.

flwrlabs / flower

Flower: A Friendly Federated AI Framework

mizorewww / laya-mlx

Native MLX runtime for Laya typed decision models — 7–14 ms short decisions on M3 Max. No text generation, PyTorch, or cloud API.

aimhubio / aim

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

Trusted-AI / adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

online-ml / river

🌊 Online machine learning in Python

rllm-org / rllm

Democratizing Reinforcement Learning for LLMs

biolab / orange3

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

zenml-io / zenml

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

NVIDIA / cuml

NVIDIA cuML: GPU-Accelerated Machine Learning

andrewekhalel / MLQuestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

huggingface / autotrain-advanced

🤗 AutoTrain Advanced

opengeos / segment-geospatial

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

TarrySingh / Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

Synapsa Commons: free, hands-on AI courses that run anywhere (Colab, Kaggle, Binder, Codespaces, Jupyter). EU AI Act conformity evidence, model validation, predictive maintenance, document extraction, retrieval and RAG, AI agents and MCP, a simulated humanoid. Every lesson autograded. From the team building Synapsa.

aurelio-labs / semantic-router

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

google / deepvariant

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

rio-labs / rio

WebApps in pure Python. No JavaScript, HTML and CSS needed

pytorch / rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

truera / trulens

Evaluation and Tracking for LLM Experiments and AI Agents

mne-tools / mne-python

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

fnnx-ai / scikit-llm

Seamlessly integrate LLMs into scikit-learn.

PennyLaneAI / pennylane

PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.

mljar / mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

google-deepmind / dm-haiku

JAX-based neural network library

tslearn-team / tslearn

The machine learning toolkit for time series analysis in Python

ml-tooling / opyrator

🪄 Turns your machine learning code into microservices with web API, interactive GUI, and more.

jslee02 / awesome-robotics-libraries

:sunglasses: A curated list of robotics libraries and software