joelrorseth

joelrorseth's Stars

• ggerganov/llama.cpp

  LLM inference in C/C++

  Language:C++70.7k5604.3k10.2k

• lm-sys/FastChat

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

  Language:Python37.5k3521.8k4.6k

• karpathy/minGPT

  A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

  Language:Python20.8k263722.7k

• guidance-ai/guidance

  A guidance language for controlling large language models.

  Language:Jupyter Notebook19.4k1195521.1k

• BerriAI/litellm

  Python SDK, Proxy Server (LLM Gateway) to call 100+ LLM APIs in OpenAI format - [Bedrock, Azure, OpenAI, VertexAI, Cohere, Anthropic, Sagemaker, HuggingFace, Replicate, Groq]

  Language:Python16.2k904k1.9k

• google/gemma_pytorch

  The official PyTorch implementation of Google's Gemma models

  Language:Python5.3k3942517

• allenai/OLMo

  Modeling, training, eval, and inference code for OLMo

  Language:Python5k51215522

• facebookresearch/lingua

  Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.

  Language:Python4.4k2941227

• openai/transformer-debugger

  Language:Python4.1k2614241

• PAIR-code/lit

  The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

  Language:TypeScript3.5k69137357

• spcl/graph-of-thoughts

  Official Implementation of "Graph of Thoughts: Solving Elaborate Problems with Large Language Models"

  Language:Python2.2k2222166

• run-llama/llama_deploy

  Deploy your agentic worfklows to production

  Language:Python1.9k25157203

• TransformerLensOrg/TransformerLens

  A library for mechanistic interpretability of GPT-style language models

  Language:Python1.7k16267316

• facebookresearch/DPR

  Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

  Language:Python1.7k23210306

• google-research/bleurt

  BLEURT is a metric for Natural Language Generation based on transfer learning.

  Language:Python711135185

• likenneth/honest_llama

  Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

  Language:Python49393939

• AlignmentResearch/tuned-lens

  Tools for understanding how transformer predictions are built layer-by-layer

  Language:Python45975447

• ndif-team/nnsight

  The nnsight package enables interpreting and manipulating the internals of deep learned models.

  Language:Jupyter Notebook45749241

• kmeng01/memit

  Mass-editing thousands of facts into a transformer memory (ICLR 2023)

  Language:Python45561957

• epfml/landmark-attention

  Landmark Attention: Random-Access Infinite Context Length for Transformers

  Language:Python419391536

• nelson-liu/lost-in-the-middle

  Code and data for "Lost in the Middle: How Language Models Use Long Contexts"

  Language:Python32551427

• night-chen/ToolQA

  ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.

  Language:Jupyter Notebook249579

• davidbau/baukit

  Language:Python18411414

• ADAPT-uiuc/dias

  Dias: Dynamic Rewriting of Pandas Code

  Language:Python645167

• google/belief-localization

  This repository includes code for the paper "Does Localization Inform Editing? Surprising Differences in Where Knowledge Is Stored vs. Can Be Injected in Language Models."

  58357

• DigitalHarborFoundation/llm-math-education

  Retrieval augmented generation for middle-school math question answering and hint generation.

  Language:Jupyter Notebook34404

• AI4LIFE-GROUP/LLM_Explainer

  Code for paper: Are Large Language Models Post Hoc Explainers?

  Language:Jupyter Notebook28504

• seilna/CNN-Units-in-NLP

  :scissors: Repository for our ICLR 2019 paper: Discovery of Natural Language Concepts in Individual Units of CNNs

  Language:Python27301

• stefan-grafberger/mlwhatif

  Data-Centric What-If Analysis for Native Machine Learning Pipelines

  Language:Jupyter Notebook153232

• DigitalHarborFoundation/rag-for-math-qa

  Analysis code for a research paper

  Language:Jupyter Notebook13311