643 Open source projects that are alternatives of or similar to Matex

A common interface to processing pools.

Build deep learning applications in a new and easy way.

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

Reference github repository for the paper "Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data". We propose a procedure to generate realistic DP data synthetically. Our synthesis approach mimics the optical image formation found on DP sensors and can be applied to virtual scenes rendered with standard computer software. Lev…

library of C++ functions that support applications of Stan in Pharmacometrics

learn code with tensorflow

Contrastive unpaired image-to-image translation, faster and lighter training than cyclegan (ECCV 2020, in PyTorch)

Python extension language using accelerators

Framework of vectorized and distributed data analytics

A repository to curate and summarise research papers related to fashion and e-commerce

A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.

New version of our solver for the incompressible Navier-Stokes equations

In this part, I've introduced and experimented with ways to interpret and evaluate models in the field of image. (Pytorch)

AoE (AI on Edge，终端智能，边缘计算) 是一个终端侧AI集成运行时环境 (IRE)，帮助开发者提升效率。

Modern Fortran wrappers around MPI routines

Flops counter for convolutional networks in pytorch framework

Image Forgery Detection using Deep Learning, implemented in PyTorch.

This repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.

Historical OpenStreetMap Objects to Machine Learning Training Samples

Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2

The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

A flask website for style transfer

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

Research papers on ML for security

でぃーぷらーにんぐを無限にやってディープラーニングでDeepLearningするための実装CheatSheet

Barrage is an opinionated supervised deep learning tool built on top of TensorFlow 2.x designed to standardize and orchestrate the training and scoring of complicated models.

Deep Kernel Learning. Gaussian Process Regression where the input is a neural network mapping of x that maximizes the marginal likelihood

A minimal implementation of Wasserstein GAN

Fabric for Deep Learning (FfDL, pronounced fiddle) is a Deep Learning Platform offering TensorFlow, Caffe, PyTorch etc. as a Service on Kubernetes

AI開発プラットフォームKAMONOHASHI

mnist with Tensorflow

deeplearning.ai , By Andrew Ng, All video link

My presentation at ODSC India 2018 about Deep Learning with Apache Spark

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

深度学习笔记

Fast Fourier transforms of MPI-distributed Julia arrays

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks

Early stopping for PyTorch

Code for the CVPR 2020 paper "A Multi-task Mean Teacher for Semi-supervised Shadow Detection"

Open source repository for QuickPIC

wxParaver is a trace-based visualization and analysis tool designed to study quantitative detailed metrics and obtain qualitative knowledge of the performance of applications, libraries, processors and whole architectures.

Reversi reinforcement learning by AlphaGo Zero methods.

www.eemodelingsystem.com

An implementation of skip-thought vectors in Tensorflow

CNN example for training your own datasets.

The implementation of DeBERTa

An implement of google deep dream with tensorflow

Invert the color of MNIST images with PyTorch

Implementation of Quickdraw - an online game developed by Google

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Parallel Fortran Unit Testing Framework

Spectral Normalization for Keras Dense and Convolution Layers

The code for the MaD TwinNet. Demo page:

Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.