minouei-kl

LLM-Finetuning-Toolkit

Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

guidance

A guidance language for controlling large language models.

state-of-open-source-ai

:closed_book: Clarity in the current fast-paced mess of Open Source innovation

Prompt-Engineering-Guide

🐙 Guides, papers, lecture, notebooks and resources for prompt engineering

FastChat

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

react-llm

Easy-to-use headless React Hooks to run LLMs in the browser with WebGPU. Just useLLM().

hiertext

The HierText dataset contains ~12k images from the Open Images dataset v6 with large amount of text entities. We provide word, line and paragraph level annotations.

opengpts

gpt4all

gpt4all: run open-source LLMs anywhere

Awesome-Tabular-LLMs

We collect papers about "large language models (LLM) for table-related tasks", e.g., using LLM for Table QA task. “表格+LLM”相关论文整理

TablesGPT

GPT-powered solution for extracting and modifying data in tables using natural language commands.

table-transformer

Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.

VLM_survey

Collection of AWESOME vision-language models for vision tasks

awesome-ocr

TabRecSet

A large scale camera-taken table detection and recognition dataset.

CVPR22-Fact

The code repository for "Forward Compatible Few-Shot Class-Incremental Learning" (CVPR'22) in PyTorch.

Awesome-Incremental-Learning-with-Pre-trained-Models

📝 🎉 A curated list of awesome papers for incremental learning with pre-trained models

Multi-Modality-Arena

Chatbot Arena meets multi-modality! Multi-Modality Arena allows you to benchmark vision-language models side-by-side while providing images as inputs. Supports MiniGPT-4, LLaMA-Adapter V2, LLaVA, BLIP-2, and many more!

google-research

Google Research

Renate

Library for automatic retraining and continual learning

doc2graph

Doc2Graph transforms documents into graphs and exploit a GNN to solve several tasks.

sp-cil

prompt-in-context-learning

Awesome resources for in-context learning and prompt engineering: Mastery of the LLMs such as ChatGPT, GPT-3, and FlanT5, with up-to-date and cutting-edge updates.

RevisitingCIL

The code repository for "Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need" in PyTorch.

vrdu

We identify the desiderata for a comprehensive benchmark and propose Visually Rich Document Understanding (VRDU). VRDU contains two datasets that represent several challenges: rich schema including diverse data types, complex templates, and diversity of layouts within a single document type.

Awesome-LLM

Awesome-LLM: a curated list of Large Language Model

Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

kani

kani (カニ) is a highly hackable microframework for chat-based language models with tool use/function calling. (NLP-OSS @ EMNLP 2023)

AdvancedLiterateMachinery

A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab, Tongyi Lab, Alibaba Group.