628 Open source projects that are alternatives of or similar to Sca Cnn.cvpr17

nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

PyTorch source code for "Stacked Cross Attention for Image-Text Matching" (ECCV 2018)

This is now the official location of the Merlin project.

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Important paper implementations for Question Answering using PyTorch

Gluon to PyTorch deep neural network model converter

Transformer of "Attention Is All You Need" (Vaswani et al. 2017) by Chainer.

R-DFPN: Rotation Dense Feature Pyramid Networks (Tensorflow)

Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.

✏️ Web-based image segmentation tool for object detection, localization, and keypoints

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

DeepLab v3+ model in PyTorch. Support different backbones.

The RWTH extensible training framework for universal recurrent neural networks

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Keras Implementation of Aspect based Sentiment Analysis

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

various cv tools, such as label tools, data augmentation, label conversion, etc.

[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

A deep generative model library in Theano and Lasagne

Keras implementation of a ResNet-CAM model

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Neural network visualization toolkit for keras

Generating proportional fonts with deep learning

Keras package for deep residual networks

Implementation of 'X-Linear Attention Networks for Image Captioning' [CVPR 2020]

Official repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.

🔍 Attentional interfaces in TensorFlow.

Tensorflow implement of paper: A Hierarchical Approach for Generating Descriptive Image Paragraphs

A Re-implementation of Fixed-update Initialization

IceData: Datasets Hub for the *IceVision* Framework

several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytorch, theano, keras]

A fast implementation of Neural Image Caption by Chainer

PyTorch Implementation of Realtime Multi-Person Pose Estimation project.

The On-Ramp to Deep Learning

Code for Comprehensive Attention Convolutional Neural Networks for Explainable Medical Image Segmentation.

Visualizing where the Convolution Network is looking through CAM.

An Implementation of 'Attention is all you need' with Chinese Corpus

AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm" by DeepMind.

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Implementation of Linformer for Pytorch

Attention over nodes in Graph Neural Networks using PyTorch (NeurIPS 2019)

Implementation of TransGanFormer, an all-attention GAN that combines the finding from the recent GanFormer and TransGan paper

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Applied Deep Learning (2019 Spring) @ NTU

从零开始学习YOLOv3教程解读代码+注意力模块(SE,SPP,RFB etc)

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Implementation of the reweighted wake-sleep machine learning algorithm

Hierarchical Attentive Recurrent Tracking

CVPR 2018 - Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

Attention mechanism for processing sequential data that considers the context for each timestamp.

Detect humans in an image and estimate the pose for each person

Sparse and structured neural attention mechanisms

Deep learning codes and projects using Python

RPN+(Tensorflow) for people detection

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models