Github ML Repositories for Data Scientists
- 01. InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof.
- 02. TensorFlow - This has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers and developers easily build and deploy ML-powered applications.
- 03. Transformers provides thousands of pretrained models to perform tasks on different modalities such as text, vision, and audio.
- 04. STUMPY is a powerful and scalable Python library for modern time series analysis
- 05. TensorWatch is a debugging and visualization tool designed for data science, deep learning and reinforcement learning
- 06. Machine Learning for Beginners - A Curriculum
- 07. Python hands on tutorial with 50+ Python Application (10 lines of code)
- 08. FlowMeter is an experimental utility built for analysing and classifing packets by looking at packet headers.
- 09. Learn ML engineering for free in 4 months!
- 10. A curated list of awesome Machine Learning frameworks, libraries and software.
- 11. A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
- 12. List of Computer Science courses with video lectures
- 13. Keras 3 is a multi-backend deep learning framework, with support for JAX, TensorFlow, and PyTorch
- 14. The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
- 15. The world's simplest facial recognition api for Python and the command line