csinva

nanoGPT

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

llm-course

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

vllm

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

sentence-transformers

Multilingual Sentence & Image Embeddings with BERT

mergekit

Tools for merging pretrained large language models.

scikit-llm

Seamlessly integrate LLMs into scikit-learn.

learn2learn

A PyTorch Library for Meta-learning Research

sglang

SGLang is a structured generation language designed for large language models (LLMs). It makes your interaction with models faster and more controllable.

datasketch

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

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

aici

AICI: Prompts as (Wasm) Programs

mteb

MTEB: Massive Text Embedding Benchmark

DALEX

moDel Agnostic Language for Exploration and eXplanation

awesome-llm-interpretability

A curated list of Large Language Model (LLM) Interpretability resources.

rtdl

Research on Tabular Deep Learning: Papers & Packages

human-learn

Natural Intelligence is still a pretty good idea.

vec2text

utilities for decoding deep representations (like sentence embeddings) back to text

TrustLLM

(ICML 2024) TrustLLM: Trustworthiness in Large Language Models

Semantic-Retrieval-Models

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

covid19-severity-prediction

Extensive and accessible COVID-19 data + forecasting for counties and hospitals. 📈

FrugalGPT

FrugalGPT: better quality and lower cost for LLM applications

MetaTree

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

PASTA

PASTA: Post-hoc Attention Steering for LLMs

TalkToEBM

A Natural Language Interface to Explainable Boosting Machines

PubMed2PDF

A Python package to download full article PDFs from OA publications

tree-prompt

Tree prompting: easy-to-use scikit-learn interface for improved prompting.

encoding-model-scaling-laws

Repository for the 2023 NeurIPS paper "Scaling laws for language encoding models in fMRI"

clinical-rule-analysis

Analyzing clinical decision instruments through the lens of data and large language models.

trees-to-networks

Bridging random forests and deep neural networks. Partial implementation of "Neural Random Forests" https://arxiv.org/abs/1604.07143

explanation-consistency-finetuning