1385 Open source projects that are alternatives of or similar to Sparse Structured Attention

Ergonomic machine learning for everyone.

[ECCV'18 Oral] PlaneMatch: Patch Coplanarity Prediction for Robust RGB-D Reconstruction

Grid-GCN for Fast and Scalable Point Cloud Learning

DLFlow is a deep learning framework.

Papers and Datasets about Point Cloud.

Machine Learning Toolkit for Extreme Scale (MaTEx)

深度学习论文阅读路线图

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

Deep Learning with TensorFlow by Packt

All For NLP, especially Chinese.

DLTK Model Zoo

Hyperspectral-Classification Pytorch

Tensorflow implementation : U-net and FCN with global convolution

A Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.

Spectral Normalization for Keras Dense and Convolution Layers

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

implement some algorithms of 6d pose estimation

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

Paper and implementation of UNet-related model.

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

Crop/Weed Field Image Dataset

An Unsupervised Learning Framework for Moving Object Detection From Videos

aw_nas: A Modularized and Extensible NAS Framework

convolutional lstm implementation in pytorch

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Reference code for the paper "Learning Multi-Scale Photo Exposure Correction", CVPR 2021.

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

PyTorch tutorial for learners

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

Learning human driver models from NGSIM data with imitation learning.

Lung fields segmentation on CXR images using convolutional neural networks.

Deep Learning in Haskell

How to use TensorFlow

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

PyTorch implementation of multi-task learning architectures, incl. MTI-Net (ECCV2020).

Latex code for making neural networks diagrams

deep learning for image processing including classification and object-detection etc.

A PyTorch implementation of Dynamic Graph CNN for Learning on Point Clouds (DGCNN)

Automatic line art colorization using various types of hint or without hint

Curated list for Deep Reinforcement Learning (DRL): software frameworks, models, datasets, gyms, baselines...

hair segmentation in mobile device

One million English sentences, each split into two sentences that together preserve the original meaning, extracted from Wikipedia edits.

Differentiable Mask-Matching Network for Video Object Segmentation (ICCV 2019)

Tensorflow in Docker on Mesos #tfmesos #tensorflow #mesos

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

Morfessor is a tool for unsupervised and semi-supervised morphological segmentation

Classification of the Hyperspectral Image Indian Pines with Convolutional Neural Network

A Compositional Object-Based Approach to Learning Physical Dynamics

SpecGAN - generate audio with adversarial training

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

This is Andrew NG Coursera Handwritten Notes.

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

Important paper implementations for Question Answering using PyTorch

This repository is designed to teach you, step-by-step, how to develop deep learning methods for time series forecasting with concrete and executable examples in Python.

Demo applications showcasing DJL

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net