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

18.S096 three-week course at MIT

Bonus materials, exercises, and example projects for our Python tutorials

Udacity Project - Vehicle Detection

Unsupervised clustering with (Gaussian mixture) VAEs

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

Stock price prediction with recurrent neural network. The data is from the Chinese stock.

my note

Visualisation tool for CNNs in pytorch

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

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

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

A Pytorch Computer Vision template to quick start your next project! 🚀🚀

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

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

Machine Learning notebooks for refreshing concepts.

Materials for GWU DNSC 6279 and DNSC 6290.

Pytorch implementation of set transformer

CardIO is a library for data science research of heart signals

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

Coding the Machine Learning Tutorial for Learning to Learn

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

Applied an ARIMA-LSTM hybrid model to predict future price correlation coefficients of two assets

Ciência de Dados aplicada à pandemia do novo coronavírus.

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

a toolkit for working with Oxford nanopore data

Data Visualization with Python

Navigating the GAN Parameter Space for Semantic Image Editing

Quick, visual, principled introduction to pytorch code through five colab notebooks.

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

Programming Music with Python, Sonic Pi and Supercollider

A collection of IPython notebooks covering various topics.

This is the code for "Stock Market Prediction" by Siraj Raval on Youtube

机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。

Machine Learning Ops Workshop with SageMaker: lab guides and materials.

Visual Question Answering Demo on pretrained model

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

Simple Implementation of many GAN models with PyTorch.

PyTorch0.4 implementation of: actor critic / proximal policy optimization / acer / ddpg / twin dueling ddpg / soft actor critic / generative adversarial imitation learning / hindsight experience replay

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

This repo is deprecated, please use Deep Video Analytics which implements face recognition using TensorFlow and Facenet.

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

파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.

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

中文情感分析，CNN，BI-LSTM，文本分类

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!

Epidemic Modeling for Everyone

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

Official Repo for Stereo Transformer: Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers.

computational zoom from raw sensor data

A Julia package for Gaussian Processes

Scientific Python Geometric Algorithms Library

点睛 - 头条号文章标题生成工具 （Dianjing, AI to write Title for Articles）

A collection of tutorials on neural networks, using Theano

A tutorial on TensorFlow

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

虾神的Python示例代码库