tun-lin

tun-lin's Stars

• ByteByteGoHq/system-design-101

  Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.

  67.1k849507k

• GokuMohandas/Made-With-ML

  Learn how to design, develop, deploy and iterate on production-grade ML applications.

  Language:Jupyter Notebook37.9k1.2k736k

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

  Language:Python36.8k2195.6k4.5k

• gradio-app/gradio

  Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

  Language:Python34.8k1775.1k2.6k

• Skyvern-AI/skyvern

  Automate browser-based workflows with LLMs and Computer Vision

  Language:Python11.2k71139779

• yzhao062/anomaly-detection-resources

  Anomaly detection related books, papers, videos, and toolboxes

  Language:Python8.5k286221.8k

• sktime/sktime

  A unified framework for machine learning with time series

  Language:Python8k1082.6k1.4k

• MaartenGr/BERTopic

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

  Language:Python6.3k521.7k773

• dair-ai/ML-Course-Notes

  🎓 Sharing machine learning course / lecture notes.

  6.1k15914802

• online-ml/river

  🌊 Online machine learning in Python

  Language:Python5.1k85610555

• kelvins/awesome-mlops

  :sunglasses: A curated list of awesome MLOps tools

  Language:Python4.2k897577

• mljar/mljar-supervised

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

  Language:Python3.1k50660411

• MAIF/shapash

  🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

  Language:Jupyter Notebook2.8k37220335

• google-parfait/tensorflow-federated

  An open-source framework for machine learning and other computations on decentralized data.

  Language:Python2.3k720583

• allenai/RL4LMs

  A modular RL library to fine-tune language models to human preferences

  Language:Python2.2k2459192

• truera/trulens

  Evaluation and Tracking for LLM Experiments

  Language:Python2.2k19304197

• embeddings-benchmark/mteb

  MTEB: Massive Text Embedding Benchmark

  Language:Jupyter Notebook2k15557289

• feature-engine/feature_engine

  Feature engineering package with sklearn like functionality

  Language:Python2k33328315

• neomatrix369/awesome-ai-ml-dl

  Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

  Language:Jupyter Notebook1.5k8312358

• microsoft/responsible-ai-toolbox

  Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

  Language:TypeScript1.4k33286375

• EthicalML/awesome-artificial-intelligence-guidelines

  This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

  1.3k610167

• plotly/jupyter-dash

  OBSOLETE - Dash v2.11+ has Jupyter support built in!

  Language:Python9604375233

• DoubleML/doubleml-for-py

  DoubleML - Double Machine Learning in Python

  Language:Python521165475

• sapientml/sapientml

  Generative AutoML for Tabular Data

  Language:Python43761426

• interpretml/interpret-community

  Interpret Community extends Interpret repository with additional interpretability techniques and utility functions to handle real-world datasets and workflows.

  Language:Python423209185

• aws/fmeval

  Foundation Model Evaluations Library

  Language:Python218102647

• nredell/forecastML

  An R package with Python support for multi-step-ahead forecasting with machine learning and deep learning algorithms

  Language:R131133323

• ldkong1205/ntu-graduate-courses

  Graduate-Level Courses (Electrical Engineering & Computer Science) at NTU, Singapore

  Language:Mercury80407

• ariannedee/python-environments

  Code for O'Reilly training - Python Environments

  Language:Python7210047

• flippedcoder/mlops-demo

  Language:Python193126