lsq357

lsq357's Stars

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python169k1.5k2.9k44.5k

• suno-ai/bark

  🔊 Text-Prompted Generative Audio Model

  Language:Jupyter Notebook36.2k3314444.3k

• RVC-Boss/GPT-SoVITS

  1 min voice data can also be used to train a good TTS model! (few shot voice cloning)

  Language:Python35.9k2131.3k4.1k

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.3k286422.3k

• jina-ai/clip-as-service

  🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

  Language:Python12.5k2186112.1k

• weaviate/weaviate

  Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

  Language:Go11.6k1262.4k801

• liguodongiot/llm-action

  本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）

  Language:HTML10.9k95221.1k

• RUCAIBox/LLMSurvey

  The official GitHub page for the survey paper "A Survey of Large Language Models".

  Language:Python10.5k15864821

• AIGC-Audio/AudioGPT

  AudioGPT: Understanding and Generating Speech, Music, Sound, and Talking Head

  Language:Python10k13551862

• facebookresearch/dinov2

  PyTorch code and models for the DINOv2 self-supervised learning method.

  Language:Jupyter Notebook9.3k95406827

• FlagOpen/FlagEmbedding

  Retrieval and Retrieval-augmented LLMs

  Language:Python7.7k471.1k557

• gkamradt/langchain-tutorials

  Overview and tutorial of the LangChain Library

  Language:Jupyter Notebook6.8k109361.9k

• langchain-ai/chat-langchain

  Language:TypeScript5.5k481431.3k

• evidentlyai/evidently

  Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

  Language:Jupyter Notebook5.4k48399599

• lonePatient/awesome-pretrained-chinese-nlp-models

  Awesome Pretrained Chinese NLP Models，高质量中文预训练模型&大模型&多模态模型&大语言模型集合

  Language:Python4.9k9212475

• hiyouga/ChatGLM-Efficient-Tuning

  Fine-tuning ChatGLM-6B with PEFT | 基于 PEFT 的高效 ChatGLM 微调

  Language:Python3.7k32374472

• facebookresearch/encodec

  State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.

  Language:Python3.5k5771304

• songyingxin/NLPer-Interview

  该仓库主要记录 NLP 算法工程师相关的面试题

  2.6k556508

• alibaba/EasyRec

  A framework for large scale recommendation algorithms.

  Language:Python1.8k50118330

• WLiK/LLM4Rec-Awesome-Papers

  A list of awesome papers and resources of recommender system on large language model (LLM).

  1.4k238116

• OpenLMLab/MOSS-RLHF

  MOSS-RLHF

  Language:Python1.3k3453101

• DeepRec-AI/DeepRec

  DeepRec is a high-performance recommendation deep learning framework based on TensorFlow. It is hosted in incubation in LF AI & Data Foundation.

  Language:C++1.1k37128354

• lich99/ChatGLM-finetune-LoRA

  Code for fintune ChatGLM-6b using low-rank adaptation (LoRA)

  Language:Jupyter Notebook72584864

• alibaba/Megatron-LLaMA

  Best practice for training LLaMA models in Megatron-LM

  Language:Python62866351

• nancheng58/Awesome-LLM4RS-Papers

  Large Language Model-enhanced Recommender System Papers

  588111352

• lichao-sun/SoraReview

  The official GitHub page for the review paper "Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models".

  4919220

• RenzeLou/awesome-instruction-learning

  Papers and Datasets on Instruction Tuning and Following. ✨✨✨

  Language:Python4597024

• RUC-NLPIR/LLM4IR-Survey

  This is the repo for the survey of LLM4IR.

  43512036

• OpenMOSS/CoLLiE

  Collaborative Training of Large Language Models in an Efficient Way

  Language:Python411106958

• westlake-repl/Recommendation-Systems-without-Explicit-ID-Features-A-Literature-Review

  Paper List of Pre-trained Foundation Recommender Models

  31110125