Top 50 Trending Jupyter Notebook Projects
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anthropic-cookbook
A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.
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llm-colosseum
Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM
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generative-ai-for-beginners
18 Lessons, Get Started Building with Generative AI ๐ https://microsoft.github.io/generative-ai-for-beginners/
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amazon-bedrock-workshop
This is a workshop designed for Amazon Bedrock a foundational model service.
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alpaca_eval
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
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llama-recipes
Scripts for fine-tuning Llama2 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization & question answering. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment.Demo apps to showcase Llama2 for WhatsApp & Messenger
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TradeMaster
TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning :fire: :zap: :rainbow:
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miyagi
Sample to envision intelligent apps with Microsoft's Copilot stack for AI-infused product experiences.
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autogen
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
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Medusa
Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads (by FasterDecoding)
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mujoco_menagerie
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
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langkit
๐ LangKit: An open-source toolkit for monitoring Large Language Models (LLMs). ๐ Extracts signals from prompts & responses, ensuring safety & security. ๐ก๏ธ Features include text quality, relevance metrics, & sentiment analysis. ๐ A comprehensive tool for LLM observability. ๐
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fullcontrol
Python version of FullControl for toolpath design (and more) - the readme below is best source of information
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nn
๐งโ๐ซ 60 Implementations/tutorials of deep learning papers with side-by-side notes ๐; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), ๐ฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐ง
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Machine-Learning-for-Algorithmic-Trading-Second-Edition_Original
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
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hamilton
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
Index
What are some of the trending open-source Jupyter Notebook projects? This list will help you: