4seaday

4seaday's Stars

• NVIDIA/TensorRT-LLM

  TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

  Language:C++8.9k1k

• ModelTC/lightllm

  LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

  Language:Python2.7k215

• vllm-project/vllm

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

  Language:Python31.9k4.8k

• jondurbin/airoboros

  Customizable implementation of the self-instruct paper.

  Language:Python1k71

• voidful/awesome-chatgpt-dataset

  Unlock the Power of LLM: Explore These Datasets to Train Your Own ChatGPT!

  Language:Python71462

• jianzhnie/awesome-instruction-datasets

  A collection of awesome-prompt-datasets, awesome-instruction-dataset, to train ChatLLM such as chatgpt 收录各种各样的指令数据集, 用于训练 ChatLLM 模型。

  56230

• hannahawalsh/ESG_AI

  Language:Python8942

• jrieke/best-of-streamlit

  🏆 A ranked gallery of awesome streamlit apps built by the community

  1.2k145

• playinpap/awesome-data-and-analytics-governance

  데이터 & 분석 거버넌스 제고를 위한 양질의 레퍼런스들을 수집하고 생각을 나눌 수 있습니다.

  753

• ChandlerBang/SimP-GCN

  Implementation of the WSDM 2021 paper "Node Similarity Preserving Graph Convolutional Networks"

  Language:Python6012

• Diego999/pyGAT

  Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

  Language:Python2.9k691

• thunlp/GNNPapers

  Must-read papers on graph neural networks (GNN)

  16.1k3k

• tkipf/pygcn

  Graph Convolutional Networks in PyTorch

  Language:Python5.2k1.2k

• labmlai/annotated_deep_learning_paper_implementations

  🧑‍🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

  Language:Python57.1k5.8k

• vhrehfdl/NLP_Company

  121

• boost-devs/ai-tech-interview

  👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)

  1.9k457

• zzsza/Datascience-Interview-Questions

  Datascience-Interview-Questions for Korean

  877222

• Huffon/klue-transformers-tutorial

  KLUE 데이터를 활용한 HuggingFace Transformers 튜토리얼

  Language:Jupyter Notebook12916

• ndb796/python-for-coding-test

  [한빛미디어] "이것이 취업을 위한 코딩 테스트다 with 파이썬" 전체 소스코드 저장소입니다.

  Language:Python2.3k843

• haven-jeon/LegalQA

  Korean LegalQA using SentenceKoBART

  Language:Python9427

• KLUE-benchmark/KLUE

  📖 Korean NLU Benchmark

  56557

• kakaobrain/pororo

  PORORO: Platform Of neuRal mOdels for natuRal language prOcessing

  Language:Python1.3k225

• ict-bigdatalab/awesome-pretrained-models-for-information-retrieval

  A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).

  64548

• thunlp/OpenMatch

  An Open-Source Package for Information Retrieval.

  Language:Python44742

• ChuanMeng/Knowledge-Grounded-Conversation

  A Knowledge Grounded Conversation (KGC) Paper Reading List Maintained by Chuan Meng.

  26228

• hyunwoongko/kobart-transformers

  Kobart model on Huggingface transformers

  Language:Python638

• pkunlp-icler/GroupMeeting

  Group Meeting Record for Baobao Chang Group in Peking University

  255

• ElementalCognition/glucose

  GLUCOSE: GeneraLized and COntextualized Story Explanations https://arxiv.org/abs/2009.07758

  Language:Jupyter Notebook9215

• prateekguptaiiitk/Causal_Relation_Extraction

  Causal Relation Extraction and Identification using Conditional Random Fields

  Language:Jupyter Notebook2711

• thu-coai/PaperForONLG

  Paper list for open-ended language generation

  18919