yyya9

yyya9's Stars

• fengdu78/deeplearning_ai_books

  deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

  Language:HTML18.3k639655.9k

• huggingface/accelerate

  🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support

  Language:Python8.1k971.7k987

• hyperopt/hyperopt

  Distributed Asynchronous Hyperparameter Optimization in Python

  Language:Python7.3k1216531.1k

• AccumulateMore/CV

  ✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】

  Language:Jupyter Notebook6.5k1719845

• microsoft/DeepSpeedExamples

  Example models using DeepSpeed

  Language:Python6.1k755391.1k

• huggingface/notebooks

  Notebooks using the Hugging Face libraries 🤗

  Language:Jupyter Notebook3.7k741701.6k

• Paitesanshi/LLM-Agent-Survey

  2.6k7321153

• Miraclelucy/dive_into_deep_learning

  ✔️李沐 【动手学深度学习】课程学习笔记：使用pycharm编程，基于pytorch框架实现。

  Language:Python2.5k198465

• flashinfer-ai/flashinfer

  FlashInfer: Kernel Library for LLM Serving

  Language:Cuda1.5k19141151

• unclestrong/DeepLearning_LHY21_Notes

  深度学习 李宏毅 2021 学习笔记

  Language:HTML1.5k1313413

• thunlp/OpenDelta

  A plug-and-play library for parameter-efficient-tuning (Delta Tuning)

  Language:Python1k176381

• apachecn/apachecn-dl-zh

  ApacheCN 深度学习译文集

  Language:JavaScript799217198

• AnMnv/eBook

  LaTeX book with examples, open-source eBook

  Language:TeX5028217

• cli99/llm-analysis

  Latency and Memory Analysis of Transformer Models for Training and Inference

  Language:Python35891042

• HqWu-HITCS/Awesome-LLM-Survey

  An Awesome Collection for LLM Survey

  31213031

• XueyangFeng/LLM-Agent-Paper-Digest

  papers related to LLM-agent that published on top conferences

  3066115

• zilliztech/akcio

  Akcio is a demonstration project for Retrieval Augmented Generation (RAG). It leverages the power of LLM to generate responses and uses vector databases to fetch relevant documents to enhance the quality and relevance of the output.

  Language:Python249121339

• amscotti/local-LLM-with-RAG

  Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG)

  Language:Python1815932

• ribribrib2/AdvancePython

  笔记-Python高级编程和异步IO并发编程

  712264

• littlehacker26/Discriminator-Cooperative-Unlikelihood-Prompt-Tuning

  The code implementation of the EMNLP2022 paper: DisCup: Discriminator Cooperative Unlikelihood Prompt-tuning for Controllable Text Generation

  Language:Python25132

• princeton-nlp/Cognac

  Repo for paper: Controllable Text Generation with Language Constraints

  Language:Python19531

• lvmingzhe/latex

  tools.md 是科研写作常用小工具

  17105

• chujiezheng/Click

  Codes and data for ACL 2023 Findings paper "Click: Controllable Text Generation with Sequence Likelihood Contrastive Learning"

  Language:Python15212

• liangliangzhuang/Research_writing_tips

  科研写作技巧笔记

  9200

• ElapseAI/RAGScraper

  RAGScraper is a Python library designed for efficient and intelligent scraping of web documentation and content. Tailored for Retrieval-Augmented Generation systems, RAGScraper extracts and preprocesses text into structured, machine-learning-ready formats. It emphasizes precision, context preservation, and ease of integration with RAG models.

  Language:Python3010

• peterfengyx/KEST

  Official script of IJCAI 2023 paper: KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation

  Language:Python3100

• GuojialeGeographer/Scientific-self-direction

  科研自我指导，包含文献阅读与总结、科研技能锻炼、科研绘图与论文写作

  2200

• lucmaki/ctg-goemotions

  Controllable text generation for fine-grained emotions through soft prompts trained on the GoEmotions dataset.

  Language:Jupyter Notebook2101

• giorbernal/generative-ai-knowledge

  This is a project to set an environment to implement the "Retrieval-augmented generation (RAG)" pattern

  Language:Jupyter Notebook110

• lliai/Faster-Diffusion

  Official implementation of "Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models"

  Language:Python100