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

STAT 451: Intro to Machine Learning @ UW-Madison (Fall 2020)

WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"

Beaker Extensions for Jupyter Notebook

A machine learning project. Turn on your webcam. Mona Lisa's eyes will follow you around.

Applying Data Science and Machine Learning to Solve Real World Business Problems

Bayesian neural network using Pyro and PyTorch on MNIST dataset

Movie plots by genre tutorial at PyData Berlin 2016

VPoser: Variational Human Pose Prior

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

KoBERT와 CRF로 만든 한국어 개체명인식기 (BERT+CRF based Named Entity Recognition model for Korean)

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

TensorFlow JS models for MIRNet for low-light image enhancement.

Contains files related to content and project of DSND

We are building an open database of COVID-19 cases with chest X-ray or CT images.

Generating multiple choice questions from text using Machine Learning.

Train a Word2Vec model or LSA model, and Implement Conceptual Search\Semantic Search in Solr\Lucene - Simon Hughes Dice.com, Dice Tech Jobs

A benchmark dataset for data-driven weather forecasting

for code created as part of http://studywolf.wordpress.com

《统计学原理实验教程（Python）》书中代码实现。尽可能加注释，力求代码的可复用性。

Notes, Codes, and Tutorials for the Deep Learning Course <which I taught at ChinaHadoop>

Kaggle Struggle

Tutorial for using Kitti dataset easily

Quantitative finance research tools in Python

Methodology and code supporting the BuzzFeed News/BBC article, "The Tennis Racket," published Jan. 17, 2016.

18.335 - Introduction to Numerical Methods course

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

Sample implementation of Neural Ordinary Differential Equations

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

A collection of all my datasets

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

[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

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

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!

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

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

Github repo to upload demo files of youtube videos and linkedin

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

Data Cleaning Libraries with Python

Simple Implementation of many GAN models with PyTorch.

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

A collection of tutorials on neural networks, using Theano

Interactive JavaScript and TypeScript programming with Jupyter

18.S096 three-week course at MIT

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

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

知乎看山杯 第二名 解决方案

Pytorch implementation of set transformer

2018-JDDC大赛第4名的解决方案

a toolkit for working with Oxford nanopore data

Python library for reading and writing well data using Log ASCII Standard (LAS) files

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