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apollo

An open autonomous driving platform

autogluon

AutoGluon: AutoML for Text, Image, and Tabular Data

autoware.ai

Open-source software for self-driving vehicles

awesome-geojson

GeoJSON utilities that will make your life easier.

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

captainblackboard

船长关于机器学习、计算机视觉和工程技术的总结和分享

carla

Open-source simulator for autonomous driving research.

chaosexpriment

混沌工程，演练，故障注入方法合集

clash_for_windows_pkg

A Windows/macOS/Linux GUI based on Clash

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。

django

The Web framework for perfectionists with deadlines.

efficientpython

Efficient python for data science, machine learning, and software engineering

everybodydancenow_reproduce_pytorch

Everybody dance now reproduced in pytorch

gan

python notebooks accompanying the book Make Your Own GAN

githubdaily

GitHubDaily 分享内容定期整理与分类。欢迎推荐、自荐项目，让更多人知道你的项目。

gpt-3

GPT-3: Language Models are Few-Shot Learners

hangzhouyunqi2017ppt

keras-grad-cam

An implementation of Grad-CAM with keras

kubernetes

Production-Grade Container Scheduling and Management

kubernetes-course-from-a-devops-guru-kubernetes-docker-

Code Repository for Kubernetes Course from a DevOps guru (Kubernetes + Docker), Published by Packt

machine_learning

This is a library of machine learning. I designed it to learn more about machine learning.

machine_learning_ppt

makeyourownneuralnetwork

Code for the Make Your Own Neural Network book

marktext

📝A simple and elegant markdown editor, available for Linux, macOS and Windows.

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mysite

第一版本

nlpcda

一键中文数据增强包 ； NLP数据增强、bert数据增强、EDA：pip install nlpcda

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

pulse

PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models