Repository Index

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

TranslatedWith only a Python foundation, build your own embodied intelligence robot from scratch; step by step from scratch, build VLA/OpenVLA/SmolVLA/Pi0, and gain a deep understanding of embodied intelligence

• embodied-agent
• embodied-ai
• embodied-intelligence
• openvla

TensorFlow Basic Tutorial Labs

• tensorflow
• keras
• mxnet
• pytorch

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

🎨🖌 Modern, bright color theme for Sublime Text

• sublime-text
• dark-theme
• light-theme
• theme

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

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

Materials for the Hugging Face Diffusion Models Course

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

The repository host gives no description.

Genome modeling and design across all domains of life

Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding

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

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

Segment Anything in High Quality [NeurIPS 2023]

• sam
• segmentation
• segment-anything
• zero-shot-segmentation

MongoDB's Generative AI Showcase: an exhaustive collection of examples and sample applications covering Retrieval-Augmented Generation (RAG), AI agents, and industry-specific use cases.

• agents
• artificial-intelligence
• generative-ai
• llms

Text and supporting code for Think Stats, 2nd Edition

• data-science
• python
• statistics
• textbook

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

• gpu-acceleration
• large-language-models
• llm
• llm-inference

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

• machine-learning
• pattern-classification
• machine-learning-algorithms