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Automatic architecture search and hyperparameter optimization for PyTorch
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
整理开源的中文大语言模型,以规模较小、可私有化部署、训练成本较低的模型为主,包括底座模型,垂直领域微调及应用,数据集与教程等。
收集和梳理垂直领域的开源模型、数据集及评测基准。
This project collects awesome resources (e.g., papers, open-source models) for large language model (LLM)
Awesome-LLM: a curated list of Large Language Model
Summarize existing representative LLMs text datasets.
Awesome Person Re-Identification
An awesome paper list of Semi-Supervised Learning under realistic settings.
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
[Arxiv] A Survey on Video Diffusion Models
Collect some papers about transformer with vision. Awesome Transformer with Computer Vision (CV)
ACL 2022: An Empirical Survey of the Effectiveness of Debiasing Techniques for Pre-trained Language Models.
Inspired by google c4, here is a series of colossal clean data cleaning scripts focused on CommonCrawl data processing. Including Chinese data processing and cleaning methods in MassiveText.
A Large-scale Chinese Short-Text Conversation Dataset and Chinese pre-training dialog models
中文LLaMA-2 & Alpaca-2大模型二期项目 + 64K超长上下文模型 (Chinese LLaMA-2 & Alpaca-2 LLMs with 64K long context models)
The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人,21050首词。
GUI for ChatGPT API and many LLMs. Supports agents, file-based QA, GPT finetuning and query with web search. All with a neat UI.
A framework for cleaning Chinese dialog data
[ICML 2023] A Closer Look at Few-shot Classification Again
Large-scale Pre-training Corpus for Chinese 100G 中文预训练语料
Making large AI models cheaper, faster and more accessible
Conceptual 12M is a dataset containing (image-URL, caption) pairs collected for vision-and-language pre-training.
Code release for "Cycle Self-Training for Domain Adaptation" (NeurIPS 2021)
Code from the paper "DACS: Domain Adaptation via Cross-domain Mixed Sampling"
[CVPR22] Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.