6295 Open source projects that are alternatives of or similar to Pointrend Pytorch

Simple Encoder, Generator and Face Modificator with StyleGAN2

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

[电影推荐系统] Based on the movie scoring data set, the movie recommendation system is built with FM and LR as the core(基于爬取的电影评分数据集，构建以FM和LR为核心的电影推荐系统).

A Julia package for Gaussian Processes

Code To Accompany YouTube Series Imaginary Numbers Are Real

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

AWS Retail Demo Store is a sample retail web application and workshop platform demonstrating how AWS infrastructure and services can be used to build compelling customer experiences for eCommerce, retail, and digital marketing use-cases

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

Documenting my python implementation of Andrew Ng's Machine Learning course

Perception toolkit for sim2real training and validation

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Explains nlp building blocks in a simple manner.

Stanford

Code to synthesise textures using convolutional neural networks as described in Gatys et al. 2015 (http://arxiv.org/abs/1505.07376)

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

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

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

Self hosted alternative to Google Photos

Building QA system for Stanford Question Answering Dataset

Fast, flexible and easy to use probabilistic modelling in Python.

An easy to use VR toolkit for Oculus Quest development using the Godot game engine

Structured Inference Networks for Nonlinear State Space Models

Python技术 公众号文章代码实例

Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

Beaker Extensions for Jupyter Notebook

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Tutorials for deep learning

Machine Learning and Deep Learning Resources

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

Exploration of methods for coloring t-SNE.

Hands-On Computer Vision with TensorFlow 2, published by Packt

SuperComputing 2017 Deep Learning Tutorial

Movie plots by genre tutorial at PyData Berlin 2016

Manage your machine learning experiments with trixi - modular, reproducible, high fashion. An experiment infrastructure optimized for PyTorch, but flexible enough to work for your framework and your tastes.

Using Project Jupyter for data science.

A framework for blind denoising with self-supervision.

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

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

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

CARTO Python package for data scientists

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

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

Some code examples gathered during my Month of Julia.

Contains files related to content and project of DSND

Simplified implementations of deep learning related works

Machine Learning and NLP: Text Classification using python, scikit-learn and NLTK

Generating multiple choice questions from text using Machine Learning.

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

An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.

Visual Question Answering Demo on pretrained model

Examples of using deep learning in Bioinformatics

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

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

A minimal Jupyter Notebook theme

AIND Term 2 -- Lesson on Convolutional Neural Networks

2018-JDDC大赛第4名的解决方案