PythonmlArtificial neural network classes and tools in Python and TensorFlow.
Stars: ✭ 114 (-10.24%)
CondinstConditional Convolutions for Instance Segmentation, achives 37.1mAP on coco val
Stars: ✭ 101 (-20.47%)
SfmlearnerAn unsupervised learning framework for depth and ego-motion estimation from monocular videos
Stars: ✭ 1,661 (+1207.87%)
Top Deep Learning Top 200 deep learning Github repositories sorted by the number of stars.
Stars: ✭ 1,365 (+974.8%)
Cinc Challenge2017ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
Stars: ✭ 112 (-11.81%)
Aaltd18Data augmentation using synthetic data for time series classification with deep residual networks
Stars: ✭ 124 (-2.36%)
Antialiased Cnnspip install antialiased-cnns to improve stability and accuracy
Stars: ✭ 1,363 (+973.23%)
Cutmixa Ready-to-use PyTorch Extension of Unofficial CutMix Implementations with more improved performance.
Stars: ✭ 99 (-22.05%)
Bayesian cnnBayes by Backprop implemented in a CNN in PyTorch
Stars: ✭ 98 (-22.83%)
Sigver wiwdLearned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.
Stars: ✭ 112 (-11.81%)
Awesome Transfer LearningBest transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Stars: ✭ 1,349 (+962.2%)
TybaltTraining and evaluating a variational autoencoder for pan-cancer gene expression data
Stars: ✭ 126 (-0.79%)
Rul NetDeep learning approach for estimation of Remaining Useful Life (RUL) of an engine
Stars: ✭ 112 (-11.81%)
CnniqaCVPR2014-Convolutional neural networks for no-reference image quality assessment
Stars: ✭ 96 (-24.41%)
Ti PoolingTI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks
Stars: ✭ 119 (-6.3%)
Cs231n Convolutional Neural Networks SolutionsAssignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.
Stars: ✭ 110 (-13.39%)
DpedSoftware and pre-trained models for automatic photo quality enhancement using Deep Convolutional Networks
Stars: ✭ 1,315 (+935.43%)
HyperdensenetThis repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Stars: ✭ 124 (-2.36%)
Incremental LearningPytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."
Stars: ✭ 92 (-27.56%)
DensepointDensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)
Stars: ✭ 110 (-13.39%)
CalcConvolutional Autoencoder for Loop Closure
Stars: ✭ 119 (-6.3%)
PaysageUnsupervised learning and generative models in python/pytorch.
Stars: ✭ 109 (-14.17%)
Fast AutoaugmentOfficial Implementation of 'Fast AutoAugment' in PyTorch.
Stars: ✭ 1,297 (+921.26%)
Pytorch convlstmconvolutional lstm implementation in pytorch
Stars: ✭ 126 (-0.79%)
Facedet实现常用基于深度学习的人脸检测算法
Stars: ✭ 109 (-14.17%)
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 (-7.09%)
PysadStreaming Anomaly Detection Framework in Python (Outlier Detection for Streaming Data)
Stars: ✭ 87 (-31.5%)
Mask rcnn pytorchMask R-CNN for object detection and instance segmentation on Pytorch
Stars: ✭ 123 (-3.15%)
PointglrGlobal-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)
Stars: ✭ 86 (-32.28%)
BcpdBayesian Coherent Point Drift (BCPD/BCPD++); Source Code Available
Stars: ✭ 116 (-8.66%)
Tf Mobilenet V2Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow
Stars: ✭ 85 (-33.07%)
SodAn Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)
Stars: ✭ 1,460 (+1049.61%)
Pynq DlXilinx Deep Learning IP
Stars: ✭ 84 (-33.86%)
GonGradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
Stars: ✭ 126 (-0.79%)
TnnBiologically-realistic recurrent convolutional neural networks
Stars: ✭ 83 (-34.65%)
Fashion MnistA MNIST-like fashion product database. Benchmark 👇
Stars: ✭ 9,675 (+7518.11%)
Style TransferA Keras Implementation of "A Neural Algorithm of Artistic Style"
Stars: ✭ 115 (-9.45%)
OpenselfsupSelf-Supervised Learning Toolbox and Benchmark
Stars: ✭ 1,239 (+875.59%)
Lenet 5PyTorch implementation of LeNet-5 with live visualization
Stars: ✭ 122 (-3.94%)
Back2future.pytorchUnsupervised Learning of Multi-Frame Optical Flow with Occlusions
Stars: ✭ 104 (-18.11%)
Wav2letter.pytorchA fully convolution-network for speech-to-text, built on pytorch.
Stars: ✭ 104 (-18.11%)
Idn CaffeCaffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)
Stars: ✭ 104 (-18.11%)