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清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
Official Code for DragGAN (SIGGRAPH 2023)
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
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.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Classic papers and resources on recommendation
一位酷爱做饭的程序员，立志用动画将算法说的通俗易懂。我的面试网站 www.chengxuchu.com
C#/F# bindings for NumPy - a fundamental library for scientific computing, machine learning and AI
🔥🔥超过1000本的计算机经典书籍、个人笔记资料以及本人在各平台发表文章中所涉及的资源等。书籍资源包括C/C++、Java、Python、Go语言、数据结构与算法、操作系统、后端架构、计算机系统知识、数据库、计算机网络、设计模式、前端、汇编以及校招社招各种面经~
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
Use Unity 3D character and Python deep learning algorithms to stream as a VTuber!
A tool to intentionally discover valuable videos
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)【安全加固，暂停交互，请耐心等待】
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
刷算法全靠套路，认准 labuladong 就够了！English version supported! Crack LeetCode, not only how, but also why.
A comprehensive reference for all topics related to Natural Language Processing
keras implement of transformers for humans
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet…
本项目的数据来自“互联网新闻情感分析”赛题。使用Bert-As-Service库中的中文Bert模型进行句向量的提取，加入全连接层后进行三分类。
TensorFlow code and pre-trained models for BERT