Deep RankingLearning 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
Cyclegan QpOfficial PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"
Pytorch Image ModelsPyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
Jacinto Ai DevkitTraining & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models
Pretrained Models.pytorchPretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
SegmentationcppA c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
TensornetsHigh level network definitions with pre-trained weights in TensorFlow
ResnetTensorflow ResNet implementation on cifar10
AutodlAutomated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
Vgg16 PytorchVGG16 Net implementation from PyTorch Examples scripts for ImageNet dataset
RetinanetKeras implementation of RetinaNet for object detection and visual relationship identification
Bmw Tensorflow Training GuiThis repository allows you to get started with a gui based training a State-of-the-art Deep Learning model with little to no configuration needed! NoCode training with TensorFlow has never been so easy.
Keras Idiomatic ProgrammerBooks, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Cifar ZooPyTorch implementation of CNNs for CIFAR benchmark
MedicalzoopytorchA pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation
Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
Pytorch resnet cifar10Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
Tf TutorialsA collection of deep learning tutorials using Tensorflow and Python
Cbir🏞 A content-based image retrieval (CBIR) system
Basic cnns tensorflow2A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).
Cnn ModelsImageNet pre-trained models with batch normalization for the Caffe framework
Real Time Gesrec Real-time Hand Gesture Recognition with PyTorch on EgoGesture, NvGesture, Jester, Kinetics and UCF101
Self LabelSelf-labelling via simultaneous clustering and representation learning. (ICLR 2020)
RezeroOfficial PyTorch Repo for "ReZero is All You Need: Fast Convergence at Large Depth"
DeepslideCode for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
DeepxiDeep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
jax-resnetImplementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
alpha-zeroAlphaZero 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.
flexible-yolov5More readable and flexible yolov5 with more backbone(resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer) and (cbam,dcn and so on), and tensorrt
DE resnet unet hybDepth estimation from RGB images using fully convolutional neural networks.
RMNetRM Operation can equivalently convert ResNet to VGG, which is better for pruning; and can help RepVGG perform better when the depth is large.