Repository Index

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

Translated500 Lines or Less Chinese translation project.

🎨🖌 Modern, bright color theme for Sublime Text

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

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

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

Materials for the Hugging Face Diffusion Models Course

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

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

TranslatedSharing AI Infra knowledge & code exercises: PyTorch, vLLM/SGLang, introductions to the slime/vime frameworks⚡️, performance acceleration🚀, large model fundamentals🧠, AI software and hardware🔧, and more

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.

OmniGen: Unified Image Generation. https://arxiv.org/pdf/2409.11340

• diffusion
• image
• image-generation
• multi-modal

Genome modeling and design across all domains of life

TranslatedLinear algebra notes

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