csinva

csinva's Stars

• mlabonne/llm-course

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

  Language:Jupyter Notebook40.3k417694.3k

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python32.5k2675.7k5k

• ItzCrazyKns/Perplexica

  Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI

  Language:TypeScript17.7k1253611.7k

• UKPLab/sentence-transformers

  State-of-the-Art Text Embeddings

  Language:Python15.6k1432.2k2.5k

• marimo-team/marimo

  A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

  Language:Python8.7k45901316

• sgl-project/sglang

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

  Language:Python6.7k61775605

• arcee-ai/mergekit

  Tools for merging pretrained large language models.

  Language:Python5k52327458

• Blealtan/efficient-kan

  An efficient pure-PyTorch implementation of Kolmogorov-Arnold Network (KAN).

  Language:Python4.2k3543368

• ekzhu/datasketch

  MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

  Language:Python2.6k48166296

• embeddings-benchmark/mteb

  MTEB: Massive Text Embedding Benchmark

  Language:Jupyter Notebook2k15557289

• skrub-data/skrub

  Prepping tables for machine learning

  Language:Python1.3k22367106

• bambinos/bambi

  BAyesian Model-Building Interface (Bambi) in Python.

  Language:Python1.1k30421126

• xhluca/bm25s

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

  Language:Python94843544

• Technion-Kishony-lab/data-to-paper

  data-to-paper: Backward-traceable AI-driven scientific research

  Language:Python52362454

• HowieHwong/TrustLLM

  [ICML 2024] TrustLLM: Trustworthiness in Large Language Models

  Language:Python49683047

• caiyinqiong/Semantic-Retrieval-Models

  A curated list of awesome papers for Semantic Retrieval (TOIS Accepted: Semantic Models for the First-stage Retrieval: A Comprehensive Review).

  31918627

• ruizheliUOA/Awesome-Interpretability-in-Large-Language-Models

  This repository collects all relevant resources about interpretability in LLMs

  2975419

• som-shahlab/ehrshot-benchmark

  A benchmark for few-shot evaluation of foundation models for electronic health records (EHRs)

  Language:Jupyter Notebook142101110

• EvanZhuang/MetaTree

  Official implementation of MetaTree: Learning a Decision Tree Algorithm with Transformers

  Language:Python101525

• kongds/scaling_sentemb

  Scaling Sentence Embeddings with Large Language Models

  Language:Python1012144

• pymc-devs/pymc-bart

  Language:Python95215618

• s-marton/GRANDE

  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

  Language:Jupyter Notebook89159

• ielab/PromptReps

  Prompting Large Language Models to Generate Dense and Sparse Representations for Zero-Shot Document Retrieval

  Language:Python38414

• csinva/interpretable-embeddings

  Interpretable text embeddings by asking LLMs yes/no questions (NeurIPS 2024)

  Language:Python31401

• AlexWan0/infini-gram

  An unofficial implementation of the Infini-gram model proposed by Liu et al. (2024)

  Language:Go27425

• microsoft/attribute-structuring

  Language:Python52

• csinva/fmri

  Experiments with language fMRI data from Alex Huth lab

  Language:Jupyter Notebook320

• csinva/tpr-fmri

  Language:Python340

• FlamingoZh/divergence_MEG

  Language:Python30

• yandachen/explanation-consistency-finetuning

  Implementation code for the paper "Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning"

  Language:Python1100