orcax

orcax's Stars

• langchain-ai/langchain

  🦜🔗 Build context-aware reasoning applications

  Language:Jupyter Notebook96.1k6918k15.6k

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++69.2k5514.2k9.9k

• CompVis/stable-diffusion

  A latent text-to-image diffusion model

  Language:Jupyter Notebook68.7k55971710.2k

• mlabonne/llm-course

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

  Language:Jupyter Notebook40k416684.2k

• karpathy/nanoGPT

  The simplest, fastest repository for training/finetuning medium-sized GPTs.

  Language:Python37.8k3773206.1k

• lm-sys/FastChat

  An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

  Language:Python37.2k3531.8k4.6k

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.7k3432694.1k

• Vision-CAIR/MiniGPT-4

  Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

  Language:Python25.5k2194672.9k

• tloen/alpaca-lora

  Instruct-tune LLaMA on consumer hardware

  Language:Jupyter Notebook18.7k1544692.2k

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python10.6k15864826

• antimatter15/alpaca.cpp

  Locally run an Instruction-Tuned Chat-Style LLM

  Language:C10.2k102188908

• twitter/the-algorithm-ml

  Source code for Twitter's Recommendation Algorithm

  Language:Python10.1k104412.2k

• Mooler0410/LLMsPracticalGuide

  A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)

  9.5k18717738

• FMInference/FlexGen

  Running large language models on a single GPU for throughput-oriented scenarios.

  Language:Python9.1k11181540

• evil-huawei/evil-huawei

  Evil Huawei - 华为作过的恶

  Language:JavaScript8.8k2400643

• dair-ai/ML-Papers-Explained

  Explanation to key concepts in ML

  7.3k1538576

• facebookresearch/metaseq

  Repo for external large-scale work

  Language:Python6.5k112294728

• uber/causalml

  Uplift modeling and causal inference with machine learning algorithms

  Language:Python5.1k86399784

• wnzhang/rtb-papers

  A collection of research and survey papers of real-time bidding (RTB) based display advertising techniques.

  3.5k4818926

• FreedomIntelligence/LLMZoo

  ⚡LLM Zoo is a project that provides data, models, and evaluation benchmark for large language models.⚡

  Language:Python2.9k5349201

• matheusfacure/python-causality-handbook

  Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.

  Language:Jupyter Notebook2.8k45271485

• FasterDecoding/Medusa

  Medusa: Simple Framework for Accelerating LLM Generation with Multiple Decoding Heads

  Language:Jupyter Notebook2.3k3192162

• google-deepmind/code_contests

  Language:C++2.1k3836209

• Tongji-KGLLM/RAG-Survey

  1.9k3218124

• StanfordBDHG/HealthGPT

  Query your Apple Health data with natural language 💬 🩺

  Language:Swift1.7k3314151

• mjpost/sacrebleu

  Reference BLEU implementation that auto-downloads test sets and reports a version string to facilitate cross-lab comparisons

  Language:Python1.1k19158165

• kohpangwei/influence-release

  Language:Jupyter Notebook7791822177

• jannerm/trajectory-transformer

  Code for the paper "Offline Reinforcement Learning as One Big Sequence Modeling Problem"

  Language:Python46662065

• claudiashi57/dragonnet

  Language:Python25181454

• usaito/recsys2021-tutorial

  https://sites.google.com/cornell.edu/recsys2021tutorial

  Language:Jupyter Notebook50227