Repository Index

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

• reinforcement-learning
• machine-learning
• artificial-intelligence
• deep-reinforcement-learning

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider LLM support and a 17-task benchmark leaderboard.

• agentic-ai
• ai-agents
• langchain
• langgraph

JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.

• deep-learning
• jax
• speech-recognition
• speech-to-text

Data augmentation for NLP

• nlp
• augmentation
• machine-learning
• artificial-intelligence

The repository host gives no description.

Python code for common Machine Learning Algorithms

• linear-regression
• polynomial-regression
• logistic-regression
• decision-trees

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more

• tensorflow
• pytorch
• keras
• gobang

[ICCV 2019] Monocular depth estimation from a single image

• depth-estimation
• neural-network
• deep-learning
• self-supervision

Technical resources for AI developers to build applications, agents, and systems using Oracle AI Database and OCI services

• artificial-intelligence
• generative-ai
• kubernetes
• kustomize

Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

• imitation-learning
• robotics

TensorFlow Basic Tutorial Labs

• tensorflow
• keras
• mxnet
• pytorch

Solve puzzles. Improve your pytorch.

• machine-learning
• puzzle
• torch

Probabilistic reasoning and statistical analysis in TensorFlow

• tensorflow
• bayesian-methods
• deep-learning
• machine-learning

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

• machine-learning
• notebook
• azure
• deep-learning

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

• tensorflow
• machine-learning
• regression
• convolutional-neural-networks

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

• automl
• hyperparam
• automated-machine-learning
• machine-learning

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

• deep-learning
• coursera
• coursera-assignment
• coursera-specialization

Plain python implementations of basic machine learning algorithms

• machine-learning
• logistic-regression
• ipynb
• machine-learning-algorithms

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

• machine-learning
• predictive-modeling
• islr
• statistical-learning

Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.

• agentic-ai
• langmem
• mcp
• openai-api

A modular Agentic RAG built with LangGraph — learn Retrieval-Augmented Generation Agents in minutes.

• agentic-ai
• agentic-rag
• agents
• rag

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.

• deep-learning
• d2l
• data-science
• pytorch-implmention

TranslatedLinear algebra notes

[ICLR 2023] ReAct: Synergizing Reasoning and Acting in Language Models

• decision-making
• large-language-models
• llm
• prompting