5961 Open source projects that are alternatives of or similar to Coronavirus Epidemic Covid 19

虾神的Python示例代码库

A collection of tutorials on neural networks, using Theano

fastai V2 implementation of Timeseries classification papers.

Tutorial covering Open Source tools for Source Separation.

Tools for using a variational auto-encoder for latent image encoding and generation.

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python and scala)

Udacity Project - Vehicle Detection

Oxford Deep NLP 2017 course - Practical 1: word2vec

18.S096 three-week course at MIT

PyTorch Implementation of Deformable Convolution

my note

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

A collection of various deep learning architectures, models, and tips

A repo for new open source contributors to begin with open source contribution. Contribute and earn awesome swags.

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

Visualising LIDAR data from KITTI dataset.

Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).

Learn Python, Easy to learn, Awesome

深度学习常用优化方法详解

Notes and Summaries on ML-related Research Papers (with optional implementations)

The accompanying files for the book 'Dataviz with Python and JavaScript'

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Convert human motion from video to .bvh

A day to day plan for this challenge (50 Days of Machine Learning) . Covers both theoretical and practical aspects

Pytorch implementation of set transformer

メディカルAIコース オンライン講義資料

Official Repo for Google Cloud AI Platform

💎 数学公式识别

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Bio-Computing Platform featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

a toolkit for working with Oxford nanopore data

Malware Detection and Classification Using Machine Learning

VQVAEs, GumbelSoftmaxes and friends

Deep Learning Zero to All - Tensorflow

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

Self hosted alternative to Google Photos

Text Classification through CNN, RNN & HAN using Keras

机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。

Productionise your Jupyter Notebooks as easily as you wrote them.

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

Deep Learning for Land-cover Classification in Hyperspectral Images.

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

🔮Getting started with TensorFlow: Classifying Text with Neural Networks

Natural Language Processing with TensorFlow, published by Packt

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

构建医疗实体识别的模型，包含词典和语料标注，基于python构建

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

主要存储Datawhale组队学习中“推荐系统”方向的资料。

A collection of notebook to learn the Applied Predictive Modeling using Python.

Simple Implementation of many GAN models with PyTorch.

Tutorial on "Modern Optimization Methods in Python"

computational zoom from raw sensor data

Scientific Python Geometric Algorithms Library

Implementing of the "A Neural Algorithm of Artistic Style"

Experimental algorithms. Unsupported.

Develop production ready deep learning code, deploy it and scale it