5932 Open source projects that are alternatives of or similar to Pytorch Handbook

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

python tutorial

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

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

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

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

Materials for GWU DNSC 6279 and DNSC 6290.

Reference deployment of JupyterHub and nbgrader on a single server

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

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

A Repository of Notebooks for the Python Lecture Site

Visualizations based on best open science practices.

CardIO is a library for data science research of heart signals

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

Simple plotting library that wraps Matplotlib and integrated with DataFrames

Project containig related material for my TensorFlow articles

Ciência de Dados aplicada à pandemia do novo coronavírus.

Realistic Handwriting with Tensorflow

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

Coding the Machine Learning Tutorial for Learning to Learn

[ko] 패스트캠퍼스 강의 자료

A fast and lightweight AutoML library.

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

机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。

Quantum Challenge problem sets

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

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

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

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

Introduction to ML packages for the 6.86x course

Navigating the GAN Parameter Space for Semantic Image Editing

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).

An automatic beatmap generator using Tensorflow / Deep Learning.

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

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

PyData Cookbook Project

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

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

A collection of tutorials on neural networks, using Theano

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

The BlazeFace face detector model implemented in PyTorch

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

Data Visualization with Python

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

Machine Learning Model for Sport Predictions (Football, Basketball, Baseball, Hockey, Soccer & Tennis)

A collection of IPython notebooks covering various topics.

Udacity Project - Vehicle Detection

fastai V2 implementation of Timeseries classification papers.

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).

OpenCV in Python for lane line and vehicle detection/tracking in autonomous cars

Ropsten public testnet PoW chain

Building QA system for Stanford Question Answering Dataset

Build a CNN network to predict 3D bounding box of car from 2D image.

w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.