lisadunlap

lisadunlap's Stars

• lm-sys/FastChat

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

  Language:Python37.5k3511.8k4.6k

• stanfordnlp/dspy

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

  Language:Python20.8k1519011.6k

• voxel51/fiftyone

  Refine high-quality datasets and visual AI models

  Language:Python9k631.6k587

• sgl-project/sglang

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

  Language:Python7.2k63843665

• meta-llama/llama-stack-apps

  Agentic components of the Llama Stack APIs

  4k12163645

• rom1504/clip-retrieval

  Easily compute clip embeddings and build a clip retrieval system with them

  Language:Jupyter Notebook2.5k25233216

• stanford-crfm/helm

  Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in HEIM (https://arxiv.org/abs/2311.04287) and vision-language models in VHELM (https://arxiv.org/abs/2410.07112).

  Language:Python2k361.1k265

• cambrian-mllm/cambrian

  Cambrian-1 is a family of multimodal LLMs with a vision-centric design.

  Language:Python1.8k2371123

• ucbepic/docetl

  A system for agentic LLM-powered data processing and ETL

  Language:Python1.4k1586127

• pemistahl/lingua-py

  The most accurate natural language detection library for Python, suitable for short text and mixed-language text

  Language:Python1.2k109145

• google/cld3

  Language:C++8063563115

• lmarena/arena-hard-auto

  Arena-Hard-Auto: An automatic LLM benchmark.

  Language:Python69783784

• TAG-Research/lotus

  LOTUS: A semantic query engine - process data with LLMs as easily as writing pandas code

  Language:Python44314438

• tgxs002/HPSv2

  Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis

  Language:Jupyter Notebook429104114

• MMMU-Benchmark/MMMU

  This repo contains evaluation code for the paper "MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning Benchmark for Expert AGI"

  Language:Python37544130

• llava-rlhf/LLaVA-RLHF

  Aligning LMMs with Factually Augmented RLHF

  Language:Python33693724

• yossigandelsman/clip_text_span

  official implementation of "Interpreting CLIP's Image Representation via Text-Based Decomposition"

  Language:Jupyter Notebook18131619

• TransluceAI/observatory

  A toolkit for describing model features and intervening on those features to steer behavior.

  Language:Python1427213

• Understanding-Visual-Datasets/VisDiff

  Official implementation of "Describing Differences in Image Sets with Natural Language" (CVPR 2024 Oral)

  Language:Jupyter Notebook1112513

• lisadunlap/ALIA

  Augmenting with Language-guided Image Augmentation (ALIA)

  Language:Python69269

• ScalerLab/JudgeBench

  Language:Python49122

• redteaming-arena/redteam-arena

  Language:JavaScript303295

• see-say-segment/sesame

  🔥 [CVPR 2024] Official implementation of "See, Say, and Segment: Teaching LMMs to Overcome False Premises (SESAME)"

  Language:Python30411

• XiangLi1999/AutoBencher

  Language:Python26208

• lisadunlap/VibeCheck

  Official Implementation of "VibeCheck: Discover and Quantify Qualitative Differences in Large Language Models"

  Language:Python23202

• mchiquier/llm-mutate

  Language:Python11322

• yuhui-zh15/vlm_mmlu

  Language:Python210

• commune-ai/arena

  an arena for anything

  Language:Python110

• cs280-berkeley/cs280-berkeley.github.io

  Language:SCSS1202

• diffusion-hyperfeatures/diffusion-hyperfeatures.github.io

  Language:JavaScript1000