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Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
- imagenet
- resnet
- resnext
- pretrained
Deformable Convolutional Networks
RepVGG: Making VGG-style ConvNets Great Again
subpixel: A subpixel convnet for super resolution with Tensorflow
DeepTraffic is a deep reinforcement learning competition, part of the MIT Deep Learning series.
- deep-learning
- machine-learning
- deep-reinforcement-learning
- mit
Interactive convnet features visualization for Keras
- deep-learning
- convolutional-neural-networks
- visualization
Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)
- image-denoising
- residual-learning
- super-resolution
- jpeg-deblocking
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
- convolutional-neural-networks
- bayesian-network
- bayesian-convnets
- bayes-by-backprop
Deformable ConvNets V2 (DCNv2) in PyTorch
MatConvNet: CNNs for MATLAB
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
- bert
- convnet
- convolutional-neural-networks
- masked-image-modeling
Deeper Depth Prediction with Fully Convolutional Residual Networks (FCRN)
- tensorflow
- matconvnet
- depth-maps
- depth-prediction
A GPU implementation of Convolutional Neural Nets in C++
Marvin: A Minimalist GPU-only N-Dimensional ConvNets Framework