5921 Open source projects that are alternatives of or similar to Mltrain Nips 2017

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

Simplified implementations of deep learning related works

Sample implementation of Neural Ordinary Differential Equations

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

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

A collection of all my datasets

What scientific programmers must know about CPUs and RAM to write fast code.

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

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

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

Simple plotting library that wraps Matplotlib and integrated with DataFrames

An implementation of the ideas from this paper https://arxiv.org/pdf/1803.10122.pdf

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

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!

A fast and lightweight AutoML library.

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

A clear, concise, simple yet powerful and efficient API for deep learning.

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

This is an LSTM stock prediction using Tensorflow with Keras on top.

Github repo to upload demo files of youtube videos and linkedin

An automatic beatmap generator using Tensorflow / Deep Learning.

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

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

Data Cleaning Libraries with Python

The BlazeFace face detector model implemented in PyTorch

Simple Implementation of many GAN models with PyTorch.

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

A (very incomplete) project that combines machine learning with music.

中国象棋alpha zero程序

A collection of tutorials on neural networks, using Theano

《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。

Interactive JavaScript and TypeScript programming with Jupyter

《统计学习方法》的代码实现

18.S096 three-week course at MIT

A neural network that transforms a design mock-up into a static website.

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Home for Elasticsearch examples available to everyone. It's a great way to get started.

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

This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube

知乎看山杯 第二名 解决方案

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

Pytorch implementation of set transformer

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

2018-JDDC大赛第4名的解决方案

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

a toolkit for working with Oxford nanopore data

Notebooks for Course

机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。

Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller

Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media

Using Project Jupyter for data science.

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

a generalist algorithm for cellular segmentation

code for R-C3D

Deep Learning Zero to All - Tensorflow