changhsinlee

changhsinlee's Stars

• wagoodman/dive

  A tool for exploring each layer in a docker image

  Language:Go49k3653351.8k

• pola-rs/polars

  Dataframes powered by a multithreaded, vectorized query engine, written in Rust

  Language:Rust31.4k1669.6k2k

• guidance-ai/guidance

  A guidance language for controlling large language models.

  Language:Jupyter Notebook19.4k1195521.1k

• rupa/z

  z - jump around

  Language:Shell16.5k1692341.2k

• google/or-tools

  Google's Operations Research tools:

  Language:C++11.5k3103k2.2k

• pycaret/pycaret

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

  Language:Jupyter Notebook9.1k1352.3k1.8k

• huggingface/accelerate

  🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

  Language:Python8.2k971.7k1k

• TomWright/dasel

  Select, put and delete data from JSON, TOML, YAML, XML and CSV files with a single tool. Supports conversion between formats and can be used as a Go package.

  Language:Go7.3k34172142

• kingoflolz/mesh-transformer-jax

  Model parallel transformers in JAX and Haiku

  Language:Python6.3k113206892

• nicolashery/mac-dev-setup

  A beginner's guide to setting up a development environment on macOS

  Language:Shell5.6k19442923

• pre-commit/pre-commit-hooks

  Some out-of-the-box hooks for pre-commit

  Language:Python5.5k45509716

• pythonprofilers/memory_profiler

  Monitor Memory usage of Python code

  Language:Python4.4k81240381

• piskvorky/smart_open

  Utils for streaming large files (S3, HDFS, gzip, bz2...)

  Language:Python3.2k47402382

• mljar/mljar-supervised

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

  Language:Python3.1k51663411

• HBNetwork/python-decouple

  Strict separation of config from code.

  Language:Python2.9k2998201

• tomerfiliba/plumbum

  Plumbum: Shell Combinators

  Language:Python2.9k50358185

• modAL-python/modAL

  A modular active learning framework for Python

  Language:Python2.2k45149324

• josephburnett/jd

  JSON diff and patch

  Language:Go1.9k106453

• linkedin/greykite

  A flexible, intuitive and fast forecasting library

  Language:Python1.8k39106106

• skrub-data/skrub

  Prepping tables for machine learning

  Language:Python1.3k22372109

• beejjorgensen/bgnet

  Beej's Guide to Network Programming source

  Language:HTML9923011137

• koaning/human-learn

  Natural Intelligence is still a pretty good idea.

  Language:Jupyter Notebook801154354

• ydataai/ydata-quality

  Data Quality assessment with one line of code

  Language:Jupyter Notebook42972355

• NVIDIA/framework-reproducibility

  Providing reproducibility in deep learning frameworks

  Language:Python428313440

• matthewwardrop/formulaic

  A high-performance implementation of Wilkinson formulas for Python.

  Language:Python3601212425

• machine-learning-apps/actions-ml-cicd

  A Collection of GitHub Actions That Facilitate MLOps

  Language:Jupyter Notebook20710241

• koaning/simsity

  Super Simple Similarities Service

  Language:Python1423167

• davidthaler/Walmart_competition_code

  This repo holds the code for the 1st place entry in the Walmart 2014 sales forecasting competition hosted on Kaggle.

  Language:R13591101

• dominodatalab/domino-research

  Projects developed by Domino's R&D team

  Language:Python766528

• jonathandinu/causality-inference

  Code and resources from Causal Inference in Data Science LiveLessons

  Language:Jupyter Notebook1300