![tensorflow logo](https://raw.githubusercontent.com/github/explore/80688e429a7d4ef2fca1e82350fe8e3517d3494d/topics/tensorflow/tensorflow.png)
-
Shanghai Artificial Intelligence Laboratory
- Shanghai, PRC
-
15:47
(UTC +08:00)
Lists (5)
Sort Name ascending (A-Z)
Starred repositories
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
Build a daily academic subscription pipeline! Get daily Arxiv papers and corresponding chatGPT summaries with pre-defined keywords. It is deployed on GitHub automated without the need for manual ru…
AI for Science 论文解读合集(持续更新ing),论文/数据集/教程下载:hyper.ai
HuggingLLM, Hugging Future.
中文nlp解决方案(大模型、数据、模型、训练、推理)
The hub for EleutherAI's work on interpretability and learning dynamics
A Comprehensive Toolkit for High-Quality PDF Content Extraction
varuy322 / ColossalAI
Forked from hpcaitech/ColossalAIMaking big AI models cheaper, easier, and more scalable
Out-of-distribution detection, robustness, and generalization resources. The repository contains a professionally curated list of papers, tutorials, books, videos, articles and open-source librarie…
Ongoing research training transformer models at scale
Official repository for MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
A one-stop, open-source, high-quality data extraction tool, supports PDF/webpage/e-book extraction.一站式开源高质量数据提取工具,支持PDF/网页/多格式电子书提取。
A simple program to view MIT-BIH waveform data and annotations.
A collection of AWESOME things about mixture-of-experts
中文医学NLP公开资源整理:术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc
Collection of awesome LLM apps with RAG using OpenAI, Anthropic, Gemini and opensource models.
📰 Must-read papers and blogs on LLM based Long Context Modeling 🔥
Repository for analysis and experiments in the BigCode project.
Instruction Tuning with GPT-4
《开源大模型食用指南》基于Linux环境快速部署开源大模型,更适合中国宝宝的部署教程
Multi-GPU supported kmeans clustering for cluser-clip
awesome llm plaza: daily tracking all sorts of awesome topics of llm, e.g. llm for coding, robotics, reasoning, multimod etc.
本项目是一个面向小白开发者的大模型应用开发教程,在线阅读地址:https://datawhalechina.github.io/llm-universe/