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Starred repositories
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
The software that runs the Small Bets community
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
LLM agents built for control. Designed for real-world use. Deployed in minutes.
๐ค Interactive Machine Learning experiments: ๐๏ธmodels training + ๐จmodels demo
๐ค Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
A list of developer portfolios for your inspiration
Deep Learning with PyTorch., published by Packt
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
This repository consists of all my Machine Learning Projects.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
Compilation of resources for aspiring data scientists
Machine Learning notebooks for refreshing concepts.
Working source for the OpenDSA eTextbook project
Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository
๐ข Open-Source Evaluation & Testing library for LLM Agents
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Machine Learning Engineering Open Book
ok.py supports programming projects by running tests, tracking progress, and assisting in debugging.
Large scale graph learning on a single machine.
Machine Learning Yearning book by