5921 Open source projects that are alternatives of or similar to Pydata Book

Wi-Fi Geolocation Spoofing with the ESP8266

VQVAEs, GumbelSoftmaxes and friends

The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

LSTMS for Predictive Maintenance

主要存储Datawhale组队学习中“推荐系统”方向的资料。

Implementation of a seq2seq model for summarization of textual data. Demonstrated on amazon reviews, github issues and news articles.

Official Repo for Google Cloud AI Platform

Deep Learning examples with Keras.

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

An example attention network with simple dataset.

Starter files for Pluralsight course: Understanding Machine Learning with Python

Implementing of the "A Neural Algorithm of Artistic Style"

Example Machine Learning Scripts for Numerai's Tournament

Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)

Full Stack Data Science in Python

Convert human motion from video to .bvh

Deep learning based speech source separation using Pytorch

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

NeMo: a toolkit for conversational AI

Self hosted alternative to Google Photos

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Natural Language Processing with TensorFlow, published by Packt

Experimental algorithms. Unsupported.

📓 deepleaning and cv notes.

Tutorial covering Open Source tools for Source Separation.

A tutorial on TensorFlow

18.S096 three-week course at MIT

Udacity Project - Vehicle Detection

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

my note

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

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

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

Machine Learning notebooks for refreshing concepts.

Pytorch implementation of set transformer

Official mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.

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

Ciência de Dados aplicada à pandemia do novo coronavírus.

a toolkit for working with Oxford nanopore data

Navigating the GAN Parameter Space for Semantic Image Editing

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

A collection of IPython notebooks covering various topics.

机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。

Visual Question Answering Demo on pretrained model

Simple Implementation of many GAN models with PyTorch.

A sample code of data augmentation methods for wearable sensor data (time-series data)

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

Melusine is a high-level library for emails classification and feature extraction "dédiée aux courriels français".

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!

Repository containing files for my PyCon 2014 scikit-learn tutorial.

computational zoom from raw sensor data

Scientific Python Geometric Algorithms Library

A collection of tutorials on neural networks, using Theano

On the "steerability" of generative adversarial networks

Data and code behind the articles and graphics at FiveThirtyEight

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

General Assembly's Data Science course in Washington, DC

Tensorflow notes

Statistical Rethinking (2nd ed.) with NumPyro