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

Simplified implementations of deep learning related works

Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

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

Materials for a short course on convex optimization.

python tutorial

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

Data, Benchmarks, and methods submitted to the M5 forecasting competition

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Code for a workshop on statistical interference using computational methods in Python.

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

Reference deployment of JupyterHub and nbgrader on a single server

What scientific programmers must know about CPUs and RAM to write fast code.

基于深度学习的CTR预估，从FM推演各深度学习CTR预估模型（附代码）

The WeightWatcher tool for predicting the accuracy of Deep Neural Networks

A Repository of Notebooks for the Python Lecture Site

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

Visualizations based on best open science practices.

Machine Learning notebooks for refreshing concepts.

mobilev2-yolov5s剪枝、蒸馏，支持ncnn，tensorRT部署。ultra-light but better performence！

Project containig related material for my TensorFlow articles

Materials for GWU DNSC 6279 and DNSC 6290.

Realistic Handwriting with Tensorflow

Simple plotting library that wraps Matplotlib and integrated with DataFrames

Pytorch implementation of set transformer

[ko] 패스트캠퍼스 강의 자료

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

Code release for "learning to find good correspondences" CVPR 2018

CardIO is a library for data science research of heart signals

Quantum Challenge problem sets

A fast and lightweight AutoML library.

Code release for "HashNet: Deep Learning to Hash by Continuation" (ICCV 2017)

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

A clear, concise, simple yet powerful and efficient API for deep learning.

Introduction to ML packages for the 6.86x course

Coding the Machine Learning Tutorial for Learning to Learn

Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).

This is an LSTM stock prediction using Tensorflow with Keras on top.

Tools to participate in the ActivityNet Challenge 2016 (NIPSW 2016)

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

PyData Cookbook Project

An automatic beatmap generator using Tensorflow / Deep Learning.

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

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

统计学习方法训练营课程作业及答案，视频笔记在线阅读地址：https://relph1119.github.io/statistical-learning-method-camp

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

My personal notes, presentations, and notebooks on everything Deep Learning.

Ciência de Dados aplicada à pandemia do novo coronavírus.

The BlazeFace face detector model implemented in PyTorch

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

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

🎄 Virtual DOM for Python