6199 Open source projects that are alternatives of or similar to The Elements Of Statistical Learning Notebooks

A collection of all my datasets

MAttNet: Modular Attention Network for Referring Expression Comprehension

Deep Learning to Improve Breast Cancer Detection on Screening Mammography

Client side rendering of Jupyter notebooks

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

Approximating Wasserstein distances with PyTorch

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

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

Natural Language Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

code for R-C3D

Reinforcement learning with A* and a deep heuristic

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

Github repo to upload demo files of youtube videos and linkedin

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

Code To Accompany YouTube Series Imaginary Numbers Are Real

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

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

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

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

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

Explains nlp building blocks in a simple manner.

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Deep Replay - Generate visualizations as in my "Hyper-parameters in Action!" series!

三个月教你从零入门深度学习Tensorflow版配套代码

Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）

Code for our paper "Hamiltonian Neural Networks"

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

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

Structured Inference Networks for Nonlinear State Space Models

Bayesian neural network using Pyro and PyTorch on MNIST dataset

Examples of using deep learning in Bioinformatics

Python version of Quantiacs toolbox and sample trading strategies

Matplotlib 3.1 cheat sheet.

2018-JDDC大赛第4名的解决方案

Beaker Extensions for Jupyter Notebook

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

Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar

ENet - A Neural Net Architecture for real time Semantic Segmentation

A knowledge graph and a set of tools for drug repurposing

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

Code and examples for JHU Computational Genomics class

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

Movie plots by genre tutorial at PyData Berlin 2016

Detect text in natural images with SSD, Single Shot Detection

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

pyschedule - resource scheduling in python

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

Transfer learning for music classification and regression tasks

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

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

Food detection and recommendation with deep learning

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

Tacotron 2 - PyTorch implementation with faster-than-realtime inference

个人的技能树仓库，主要包含个人机器学习以及深度学习的笔记

Open Content for self-directed learning in data science