tommyEzreal's Stars
SpursGoZmy/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
KWONDU/table-retrieval
OptimalScale/LMFlow
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
emseoyk/VerifiNER
OSU-NLP-Group/TableLlama
[NAACL'24] Dataset, code and models for "TableLlama: Towards Open Large Generalist Models for Tables".
EgoAlpha/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.
georgian-io/LLM-Finetuning-Toolkit
Toolkit for fine-tuning, ablating and unit-testing open-source LLMs.
meta-llama/llama-recipes
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.
jamescalam/openai-cookbook
Examples and guides for using the OpenAI API
jamescalam/pytorch-mps
OpenGVLab/LLaMA-Adapter
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
SuperBruceJia/Awesome-LLM-Self-Consistency
Awesome LLM Self-Consistency: a curated list of Self-consistency in Large Language Models
yale-nlp/QTSumm
Data and Code for EMNLP 2023 paper "QTSumm: Query-Focused Summarization over Tabular Data"
kategerasimenko/LT2T
ramber1836/TASD
liang8qi/Data-to-Text-Generation
Some papers and datasets about Data-To-Text Generation
yilunzhao/LLM-T2T
Data and code for paper "Large Language Models are Effective Generators, Evaluators, and Feedback Providers for Faithful Table-to-Text Generation"
czyssrs/Logic2Text
Data and code for EMNLP 2020 paper "Logic2Text: High-Fidelity Natural Language Generation from Logical Forms"
wenhuchen/LogicNLG
The data and code for ACL2020 paper "Logical Natural Language Generation from Open-Domain Tables"
teddylee777/machine-learning
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
ChainsmokersAI/Prompt-Tuning-on-ToTTo
T5 Prompt Tuning on ToTTo Dataset (Table-To-Text Generation)
DSBA-Lab/CodeLab
DSBA code study
automl/CAAFE
Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automated Data Science: Introducing CAAFE for Context-Aware Automated Feature Engineering" by Hollmann, Müller, and Hutter (2023).
thunlp/PromptPapers
Must-read papers on prompt-based tuning for pre-trained language models.
galsang/SG-BERT
Official Implementation for "Self-Gudied Contrastive Learning for BERT Sentence Representations (ACL 2021)"
yukyunglee/Transformer_Survey_Study
"A survey of Transformer" paper study 👩🏻💻🧑🏻💻 KoreaUniv. DSBA Lab
ExcelsiorCJH/DLFromScratch2
『밑바닥부터 시작하는 딥러닝 ❷』
MJ-Jang/Paraphrase-Thought
Paraphrase Thought model
nawnoes/pytorch-transformer
Pytorch 트랜스포머 구현과 언어모델(BERT MLM, ELECTRA), 기계번역 테스트.