All repos — GH Trending Explorer

A 21-lesson Microsoft course teaching how to build generative AI applications, with code examples in Python and TypeScript.

learning-resources llm-tooling

anthropics / claude-cookbooks

Jupyter notebooks and recipes demonstrating code patterns for building with the Claude API, including tool use, RAG, vision, and evaluations.

llm-tooling learning-resources

chiphuyen / aie-book

Companion repository for Chip Huyen's book AI Engineering, with chapter summaries, study notes, prompt examples, and case studies.

learning-resources books llm-tooling

DataTalksClub / data-engineering-zoomcamp

A free 9-week course teaching data engineering by building an end-to-end data pipeline using tools like Docker, Terraform, Kafka, Spark, and dbt.

learning-resources data-engineering education

alirezadir / AIMLInterviews

A study guide and interview-prep curriculum for AI/ML technical roles at big tech, covering coding, ML breadth, system design, and behavioral rounds.

learning-resources ai-agents mcp

openai / CLIP

A neural network from OpenAI that scores how well text snippets match images, trained on image-text pairs for zero-shot prediction.

ml-framework image ai-media

microsoft / mcp-for-beginners

A beginner curriculum teaching the Model Context Protocol (MCP) with hands-on code examples in C#, Java, JavaScript, Rust, Python, and TypeScript.

mcp learning-resources ai-agents

NVIDIA-NeMo / Nemotron

Developer hub with training recipes, cookbooks, datasets, and end-to-end examples for building with NVIDIA's open Nemotron models.

llm-tooling learning-resources ml-framework

Lifelong-Robot-Learning / LIBERO

Benchmarking Knowledge Transfer in Lifelong Robot Learning

pyannote / pyannote-audio

Python toolkit for speaker diarization built on PyTorch, with pretrained pipelines and models that can be fine-tuned on your own data.

ml-framework audio speech-recognition

RussTedrake / manipulation

Course notes for MIT manipulation class

shahidazam2020-oss / A-Comparative-Machine-Learning-Framework-for-Heart-Attack-Risk-Prediction-Using-Data-Preprocessing

This project presents a comparative machine learning framework for heart attack risk prediction using Python. It includes data preprocessing, feature engineering, SMOTE for class balancing, cross validation, and performance evaluation of multiple ML models.

GiovanniPasq / agentic-rag-for-dummies

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

wesm / pydata-book

Jupyter notebooks and code samples accompanying Wes McKinney's book on data analysis with Python, pandas, and NumPy.

data-science learning-resources books

martinpacesa / BindCraft

User friendly and accurate binder design pipeline

simpler-env / SimplerEnv

Evaluating and reproducing real-world robot manipulation policies (e.g., RT-1, RT-1-X, Octo) in simulation under common setups (e.g., Google Robot, WidowX+Bridge) (CoRL 2024)

3dmol / 3Dmol.js

WebGL accelerated JavaScript molecular graphics library

PixelML / club-170hx

Community-tested recipes, diagnostics, and benchmarks for CMP 170HX AI workloads

rasbt / deeplearning-models

A collection of various deep learning architectures, models, and tips

google-ai-edge / mediapipe-samples

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apache / hamilton

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

numerai / example-scripts

A collection of scripts and notebooks to help you get started quickly.

jexp / neo4jev

Typesafe.ai System One Model Jev navigating a Neo4j graph by using a classifier over neighbouring relationships

inclusionAI / ling-cookbook

Guide, document and practical tips for getting the most out of the Ling model series.

evidentlyai / evidently

Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

sokrypton / ColabFold

Making Protein folding accessible to all!

freechipsproject / chisel-bootcamp

Generator Bootcamp Material: Learn Chisel the Right Way

pavelkomarov / exportify

Export Spotify playlists using the Web API. Analyze them in the Jupyter notebook.

mahmoodlab / CORAL

Spatial biology processing suite

Jev-Engineering / cookbook

Sixty notebook recipes for typed decisions with Jev: Choice, Noul and Score patterns from a first classification to closed-loop control

BlockchainCommons / Learning-Bitcoin-from-the-Command-Line

A complete course for learning Bitcoin programming and usage from the command

ipython / ipyparallel

IPython Parallel: Interactive Parallel Computing in Python

togethercomputer / together-cookbook

A collection of notebooks/recipes showcasing usecases of open-source models with Together AI.

yangheng95 / PyABSA

Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

weaviate / recipes

This repository shares end-to-end notebooks on how to use various Weaviate features and integrations!

joreilly / BikeShare

SwiftUI, Jetpack Compose, Compose for Desktop and Compose for Web based Kotlin Multiplatform project (using CityBikes API http://api.citybik.es/v2/). Uses Room for local persistence

GoogleCloudPlatform / vertex-ai-samples

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

wx-chevalier / AI-Notes

pdpipe / pdpipe

Easy pipelines for pandas DataFrames.

CornellNLP / ConvoKit

ConvoKit is a toolkit for extracting conversational features and analyzing social phenomena in conversations. It includes several large conversational datasets along with scripts exemplifying the use of the toolkit on these datasets.

joreilly / FantasyPremierLeague

Fantasy Premier League Kotlin/Compose Multiplatform sample