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applecool's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python169k1.5k2.9k44.4k

• facebook/create-react-app

  Set up a modern web app by running one command.

  Language:JavaScript103k1.9k8.3k26.9k

• ollama/ollama

  Get up and running with Llama 3.2, Mistral, Gemma 2, and other large language models.

  Language:Go100k5955.1k8k

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook95.5k6927.9k15.5k

• tailwindlabs/tailwindcss

  A utility-first CSS framework for rapid UI development.

  Language:TypeScript83.5k6143.6k4.2k

• jgthms/bulma

  Modern CSS framework based on Flexbox

  Language:CSS49.4k5872.7k4k

• mlabonne/llm-course

  Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

  Language:Jupyter Notebook39.6k410684.2k

• facebookresearch/faiss

  A library for efficient similarity search and clustering of dense vectors.

  Language:C++31.7k4792.5k3.7k

• google/jax

  Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

  Language:Python30k3285.5k2.7k

• stanfordnlp/dspy

  DSPy: The framework for programming—not prompting—language models

  Language:Python19.4k1448451.5k

• huggingface/datasets

  🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

  Language:Python19.3k2783k2.7k

• ml-explore/mlx

  MLX: An array framework for Apple silicon

  Language:C++17.6k1515721k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python16.6k1101.1k1.6k

• ShishirPatil/gorilla

  Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

  Language:Python11.5k992511k

• ggerganov/ggml

  Tensor library for machine learning

  Language:C++11.3k1314221.1k

• BartoszJarocki/cv

  Print-friendly, minimalist CV page

  Language:TypeScript9k2134986

• OptimalScale/LMFlow

  An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

  Language:Python8.3k71413827

• GoogleCloudPlatform/generative-ai

  Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

  Language:Jupyter Notebook8.3k1732152.3k

• careercup/CtCI-6th-Edition-Python

  Cracking the Coding Interview 6th Ed. Python Solutions

  Language:Python5k125431.8k

• tlkh/asitop

  Perf monitoring CLI tool for Apple Silicon

  Language:Python3.6k3055152

• jupyterlab/jupyter-ai

  A generative AI extension for JupyterLab

  Language:Python3.3k38578335

• alex-xu-system/bytebytego

  2.2k1024482

• ankurchavda/SparkLearning

  A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.

  65019073

• vanderschaarlab/synthcity

  A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

  Language:Python4581414263

• PacktPublishing/React---The-Complete-Guide-includes-Hooks-React-Router-and-Redux-Second-Edition

  Code snapshots and materials for our "React - The Complete Guide (Includes Hooks, React Router, and Redux)" Second Edition course

  382118434

• markriedl/transformer-walkthrough

  A walkthrough of transformer architecture code

  Language:Jupyter Notebook3188437

• VikParuchuri/researcher

  Concise answers to search queries using Google and GPT-3. Includes citations.

  Language:Python76405

• wch/chatstream

  Example Shiny for Python app which talks to the OpenAI API

  Language:Python753817

• CarlKCarlK/perfect-physics

  Language:Jupyter Notebook32207

• TiesdeKok/pydata_2023

  Companion materials for my PyData 2023 talk on generative LLMs

  Language:Jupyter Notebook18206