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Attention-Augmented-Conv2d
Implementing Attention Augmented Convolutional Networks using PytorchStand-Alone-Self-Attention
Implementing Stand-Alone Self-Attention in Vision Models using PytorchMobileNetV3-Pytorch
Implementing Searching for MobileNetV3 paper using PytorchBottleneckTransformers
Bottleneck Transformers for Visual RecognitionLambdaNetworks
Implementing Lambda Networks using PytorchBillion-scale-semi-supervised-learning
Implementing Billion-scale semi-supervised learning for image classification using PytorchRandWireNN
Implementing Randomly Wired Neural Networks for Image Recognition, Using CIFAR-10 dataset, CIFAR-100 datasetCLIP
CLIP: Connecting Text and Image (Learning Transferable Visual Models From Natural Language Supervision)Synthesizer-Rethinking-Self-Attention-Transformer-Models
Implementing SYNTHESIZER: Rethinking Self-Attention in Transformer Models using PytorchMixed-Depthwise-Convolutional-Kernels
Implementing MixNet: Mixed Depthwise Convolutional Kernels using PytorchSimSiam
Exploring Simple Siamese Representation LearningAction-Localization
Action-Localization, Atomic Visual Actions (AVA) DatasetBag-of-MLP
Bag of MLPPSPNet
Implementing Pyramid Scene Parsing Network (PSPNet) paper using PytorchDiffusionModel
Re-implementating Diffusion model using PytorchAssembleNet
Implementing AssembleNet: Searching for Multi-Stream Neural Connectivity in Video Architectures Explain using PytorchBackpropagation-CNN-basic
OmniNet
OmniNet: Omnidirectional Representations from TransformersGraph-Convolutional-Network
Phasic-Policy-Gradient
Phasic-Policy-Gradientbag-of-rl
Bag of Reinforcement Learning Algorithmminimal-BERT
Bidirectional Encoder Representations from TransformersVision-Language
Vision-Language, Solve GQA(Visual Reasoning in the Real World) dataset.minimal-cyclegan
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial NetworksTransformer
Implementing Attention Is All You Need paper. Transformer Modelminimal-stylegan
SlowFast
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