Top 5939 jupyter-notebook open source projects

三个月教你从零入门深度学习Tensorflow版配套代码

Bayesian neural network using Pyro and PyTorch on MNIST dataset

ENet - A Neural Net Architecture for real time Semantic Segmentation

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

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

[DEPRECATED] An IPython notebook-compatible Javascript/HTML viewer for matplotlib animations

Tutorial for using Kitti dataset easily

This something about deep learning on Coursera by Andrew Ng

A collection of all my datasets

Client side rendering of Jupyter notebooks

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

Reinforcement learning with A* and a deep heuristic

Github repo to upload demo files of youtube videos and linkedin

Statistics and Accepted paper list with arXiv link of EMNLP-IJCNLP 2019

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

Examples of using deep learning in Bioinformatics

2018-JDDC大赛第4名的解决方案

A knowledge graph and a set of tools for drug repurposing

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

pyschedule - resource scheduling in python

This repository contains my python (3) script examples that focus on use cases for Network Engineers.

Code repository for Learning PySpark by Packt

我的强化学习笔记和学习材料📖 still updating ... ...

python automatic data quality check toolkit

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

Python 入门爬虫和数据分析实战

declarative and reproducible Jupyter environments - powered by Nix

Convert existing soccer event stream data to SPADL and value player actions

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful

my blog

Beautiful charting of pandas.DataFrame with Highcharts

Surrogate Modeling Toolbox

source{d} datasets ("big code") for source code analysis and machine learning on source code

Code and Examples for Relevant Search

A collection of resources for pandas (Python) and related subjects.

MAttNet: Modular Attention Network for Referring Expression Comprehension

add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

Approximating Wasserstein distances with PyTorch

Implementation of Statistical Learning Method, Second Edition.《统计学习方法》第二版，算法实现。

朱小五写文章涉及到的数据分析，爬虫，源数据

Python is an interpreted, high-level, general-purpose programming language. Created by Guido van Rossum and first released in 1991, Python's design philosophy emphasizes code readability with its notable use of significant white space. (This repository contains Python 3 Code)

Simple Encoder, Generator and Face Modificator with StyleGAN2

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

Code To Accompany YouTube Series Imaginary Numbers Are Real

My attempt at reproducing the paper Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection

Documenting my python implementation of Andrew Ng's Machine Learning course

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Explains nlp building blocks in a simple manner.

Code for our paper "Hamiltonian Neural Networks"

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

Structured Inference Networks for Nonlinear State Space Models

Python version of Quantiacs toolbox and sample trading strategies

Deep fusion project of deeply-fused nets, and the study on the connection to ensembling

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

Code and examples for JHU Computational Genomics class