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agentgpt

🤖 Assemble, configure, and deploy autonomous AI Agents in your browser.

auto-gpt

An experimental open-source attempt to make GPT-4 fully autonomous.

automl

Google Brain AutoML

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

c_o_d_5th

计算机组成与设计 硬件/软件接口 第5版 ; Patterson, Hennessy: Computer Organization and Design:The Hardware/Software Interface,5th Edition.

centernet

Object detection, 3D detection, and pose estimation using center point detection:

chainer-cifar10

Various CNN models for CIFAR10 with Chainer

chainer-grad-cam

Chainer implementation of Grad-CAM

chainer_image_recognition

links of my implementation

chineseocr_lite

Python构建快速高效的中文文字识别OCR

contrastive-adaptation-network-for-unsupervised-domain-adaptation

pytorch implementation for Contrastive Adaptation Network

convnext

Code release for ConvNeXt model

cv_paperdaily

CV 论文笔记

da

Unsupervised Domain Adaptation Papers and Code

darknet

Convolutional Neural Networks

db-gpt

Revolutionizing Database Interactions with Private LLM Technology

ddia

《设计数据密集型应用》中文翻译 《Designing Data-Intensive Application》

ddia-1

《Designing Data-Intensive Application》DDIA中文翻译

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearningbook-chinese

Deep Learning Book Chinese Translation

dinov2

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

dl-nlp-readings

My Reading Lists of Deep Learning and Natural Language Processing

efficientdet

EfficientDet (Scalable and Efficient Object Detection) implementation in Keras and Tensorflow

efficientnet-pytorch

A PyTorch implementation of EfficientNet

everything

external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

google-research

Google Research

interview-notebook

:books: 技术面试需要掌握的基础知识整理，欢迎编辑~

leeml-notes

李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes