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machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

machinelearning

Basic Machine Learning and Deep Learning

marl-papers

Paper list of multi-agent reinforcement learning (MARL)

megvii-pku-dl-course

Homepage for the joint course of Megvii Inc. and Peking University on Deep Learning.

meta-learning-papers

Meta Learning / Learning to Learn / One Shot Learning / Few Shot Learning

ml-nlp

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

mmdetection

OpenMMLab Detection Toolbox and Benchmark

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

models

Models and examples built with TensorFlow

multi-view

nips2017

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2017

object-detection-metrics

Most popular metrics used to evaluate object detection algorithms.

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

papers

Summaries of machine learning papers

plotneuralnet

Latex code for making neural networks diagrams

practicalai

A practical approach to learning machine learning.

pretrained-models.pytorch

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

python-100-days

Python - 100天从新手到大师

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

pytorch-grad-cam

Many Class Activation Map methods implemented in Pytorch for CNNs and Vision Transformers. Examples for classification, object detection, segmentation, embedding networks and more. Including Grad-CAM, Grad-CAM++, Score-CAM, Ablation-CAM and XGrad-CAM

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

qix

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

scikit-learn

scikit-learn: machine learning in Python

segmentation_models.pytorch

Segmentation models with pretrained backbones. PyTorch.

self-driving-car

The Udacity open source self-driving car project