eladsegal

eladsegal's Stars

• ollama/ollama

  Get up and running with Llama 3.3, Phi 4, Gemma 2, and other large language models.

  Language:Go107k6155.4k8.6k

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++70.7k5594.3k10.2k

• comfyanonymous/ComfyUI

  The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.

  Language:Python63.4k4424.3k6.8k

• open-webui/open-webui

  User-friendly AI Interface (Supports Ollama, OpenAI API, ...)

  Language:JavaScript56.2k2803.3k7k

• mlabonne/llm-course

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

  Language:Jupyter Notebook41.2k426694.4k

• mem0ai/mem0

  The Memory layer for your AI apps

  Language:Python23.9k1307082.2k

• EthicalML/awesome-production-machine-learning

  A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

  17.8k409782.3k

• fastapi/typer

  Typer, build great CLIs. Easy to code. Based on Python type hints.

  Language:Python16.2k78329684

• plasma-umass/scalene

  Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

  Language:Python12.4k92477402

• NirDiamant/RAG_Techniques

  This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and contextually rich responses.

  Language:Jupyter Notebook10.8k136191.1k

• SakanaAI/AI-Scientist

  The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑‍🔬

  Language:Jupyter Notebook8.6k1081201.2k

• sgl-project/sglang

  SGLang is a fast serving framework for large language models and vision language models.

  Language:Python7.3k66880697

• Future-House/paper-qa

  High accuracy RAG for answering questions from scientific documents with citations

  Language:Python6.7k57294665

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python6.1k37186684

• MadcowD/ell

  A language model programming library.

  Language:Python5.5k53287327

• simonw/llm

  Access large language models from the command-line

  Language:Python5.5k46481310

• comet-ml/opik

  From RAG chatbots to code assistants to complex agentic pipelines and beyond, build LLM systems that run better, faster, and cheaper with tracing, evaluations, and dashboards.

  Language:Python4.4k48122275

• confident-ai/deepeval

  The LLM Evaluation Framework

  Language:Python4.3k26315355

• Lightning-AI/LitServe

  Lightning-fast serving engine for any AI model of any size. Flexible. Easy. Enterprise-scale.

  Language:Python2.7k28110173

• dabochen/spreadsheet-is-all-you-need

  A nanoGPT pipeline packed in a spreadsheet

  2.1k154121

• apple/axlearn

  An Extensible Deep Learning Library

  Language:Python1.9k6224280

• mistralai/cookbook

  Language:Jupyter Notebook1.4k3710308

• merveenoyan/smol-vision

  Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜

  Language:Jupyter Notebook1.1k131897

• xhluca/bm25s

  Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy

  Language:Python96843647

• mlabonne/llm-autoeval

  Automatically evaluate your LLMs in Google Colab

  Language:Python57472094

• nomic-ai/contrastors

  Train Models Contrastively in Pytorch

  Language:Python565124143

• mit-ll-responsible-ai/hydra-zen

  Create powerful Hydra applications without the yaml files and boilerplate code.

  Language:Python350614114

• emarco177/langgaph-course

  Language:Python2405484

• stanford-oval/suql

  SUQL: Conversational Search over Structured and Unstructured Data with LLMs

  Language:Python23381326

• illuin-tech/grouse

  Evaluate Grounded Question Answering models and Grounded Question Answering evaluator models

  Language:Python11702