Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
Stars: ✭ 126 (+5%)
Image Super Resolution🔎 Super-scale your images and run experiments with Residual Dense and Adversarial Networks.
Stars: ✭ 3,293 (+2644.17%)
Idn CaffeCaffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Stars: ✭ 104 (-13.33%)
Triplet AttentionOfficial PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]
Stars: ✭ 222 (+85%)
IseebetteriSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Stars: ✭ 202 (+68.33%)
PAM[TPAMI 2020] Parallax Attention for Unsupervised Stereo Correspondence Learning
Stars: ✭ 62 (-48.33%)
Pan[Params: Only 272K!!!] Efficient Image Super-Resolution Using Pixel Attention, in ECCV Workshop, 2020.
Stars: ✭ 151 (+25.83%)
Jsi GanOfficial repository of JSI-GAN (Accepted at AAAI 2020).
Stars: ✭ 42 (-65%)
Text classificationall kinds of text classification models and more with deep learning
Stars: ✭ 7,179 (+5882.5%)
MirnetOfficial repository for "Learning Enriched Features for Real Image Restoration and Enhancement" (ECCV 2020). SOTA results for image denoising, super-resolution, and image enhancement.
Stars: ✭ 247 (+105.83%)
Tensorflow SrganTensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)
Stars: ✭ 33 (-72.5%)
Anime4kA High-Quality Real Time Upscaler for Anime Video
Stars: ✭ 14,083 (+11635.83%)
Attribute Aware Attention[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning
Stars: ✭ 143 (+19.17%)
Pytorch SrganA modern PyTorch implementation of SRGAN
Stars: ✭ 289 (+140.83%)
Master Thesis BayesiancnnMaster Thesis on Bayesian Convolutional Neural Network using Variational Inference
Stars: ✭ 222 (+85%)
TextclassifierText classifier for Hierarchical Attention Networks for Document Classification
Stars: ✭ 985 (+720.83%)
SeranetSuper Resolution of picture images using deep learning
Stars: ✭ 79 (-34.17%)
GeomanTensorflow Implement of GeoMAN, IJCAI-18
Stars: ✭ 113 (-5.83%)
Text recognition toolboxtext_recognition_toolbox: The reimplementation of a series of classical scene text recognition papers with Pytorch in a uniform way.
Stars: ✭ 114 (-5%)
SodAn Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Stars: ✭ 1,460 (+1116.67%)
Mp Cnn TorchMulti-Perspective Convolutional Neural Networks for modeling textual similarity (He et al., EMNLP 2015)
Stars: ✭ 106 (-11.67%)
Ylg[CVPR 2020] Official Implementation: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".
Stars: ✭ 109 (-9.17%)
BrainforgeA Neural Networking library based on NumPy only
Stars: ✭ 114 (-5%)
Facedet实现常用基于深度学习的人脸检测算法
Stars: ✭ 109 (-9.17%)
DeepwayThis project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.
Stars: ✭ 118 (-1.67%)
ExermoteUsing Machine Learning to predict the type of exercise from movement data
Stars: ✭ 108 (-10%)
PygatPytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
Stars: ✭ 1,853 (+1444.17%)
Lambda NetworksImplementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute
Stars: ✭ 1,497 (+1147.5%)
Ti PoolingTI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks
Stars: ✭ 119 (-0.83%)
EdafaTest Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.
Stars: ✭ 107 (-10.83%)
Cinc Challenge2017ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
Stars: ✭ 112 (-6.67%)
Deeply Recursive Cnn TfTest implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution
Stars: ✭ 116 (-3.33%)
Reformer PytorchReformer, the efficient Transformer, in Pytorch
Stars: ✭ 1,644 (+1270%)
DeepgazeComputer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion Detection and Tracking, Saliency Map.
Stars: ✭ 1,552 (+1193.33%)
Supper ResolutionSuper-resolution (SR) is a method of creating images with higher resolution from a set of low resolution images.
Stars: ✭ 105 (-12.5%)
GhostnetCV backbones including GhostNet, TinyNet and TNT, developed by Huawei Noah's Ark Lab.
Stars: ✭ 1,744 (+1353.33%)
Food101 CoremlA CoreML model which classifies images of food
Stars: ✭ 119 (-0.83%)
Style TransferA Keras Implementation of "A Neural Algorithm of Artistic Style"
Stars: ✭ 115 (-4.17%)
Sigver wiwdLearned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
Stars: ✭ 112 (-6.67%)
NatsrNatural and Realistic Single Image Super-Resolution with Explicit Natural Manifold Discrimination (CVPR, 2019)
Stars: ✭ 105 (-12.5%)
Shiftresnet CifarResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
Stars: ✭ 112 (-6.67%)
Wav2letter.pytorchA fully convolution-network for speech-to-text, built on pytorch.
Stars: ✭ 104 (-13.33%)
Sigmoidal aiTutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal
Stars: ✭ 103 (-14.17%)
All Conv KerasAll Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras
Stars: ✭ 115 (-4.17%)
Rul NetDeep learning approach for estimation of Remaining Useful Life (RUL) of an engine
Stars: ✭ 112 (-6.67%)
Vsr Duf ReimplementIt is a re-implementation of paper named "Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation" called VSR-DUF model. There are both training codes and test codes about VSR-DUF based tensorflow.
Stars: ✭ 101 (-15.83%)
Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
Stars: ✭ 1,365 (+1037.5%)
Overlappredator[CVPR 2021, Oral] PREDATOR: Registration of 3D Point Clouds with Low Overlap.
Stars: ✭ 106 (-11.67%)
YnetY-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images
Stars: ✭ 100 (-16.67%)
Linear Attention Recurrent Neural NetworkA recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)
Stars: ✭ 119 (-0.83%)