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An extensible and friendly code review tool for projects and companies of all sizes.
Deep probabilistic analysis of single-cell and spatial omics data
Official SGLang x Datawhale course on LLM inference: understand inference, build a mini-sglang from scratch, then read the real SGLang source and land your first PR. Available in English and Chinese.
A practical hardware and software setup for a compact RL-powered biped robot.
Painlessly create beautiful matplotlib plots.
A deep learning toolkit for healthcare AI: EHR (MIMIC, eICU, OMOP), clinical text, signals and imaging. 30+ models, reproducible pipelines.
Python interface to Hive and Presto. 🐝
Open decision models from 0.8B to 27B: a calibrated probability for every option in one pass, and a short thought only when unsure. Engine for vLLM, llama.cpp and MLX.
Human Programming Interface 🧑👽🤖
Cartopy - a cartographic python library with matplotlib support
Fake Protocol Server
The can package provides controller area network support for Python developers
The Python ensemble sampling toolkit for affine-invariant MCMC
Resources on programming practices for safety-critical software.
What's in your data? Extract schema, statistics and entities from datasets
TranslatedMcDonald's MCP party/group meal organizing assistant — a CLI/Skill for party booking and group meal planning based on the Model Context Protocol
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
Source-available agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.
thoughts on programming
Python Streaming DataFrames for Kafka
🔥RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)
A 100-day challenge exploring IoT and embedded systems using ESP32, ESP8266, and Raspberry Pi Pico with MicroPython. Each day covers a new sensor or module with complete code, circuit diagram, and explanation.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark