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gans-2.0Generative Adversarial Networks in TensorFlow 2.0
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AognetCode for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"
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TorchdistillPyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.
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deeplearning-mpoReplace FC2, LeNet-5, VGG, Resnet, Densenet's full-connected layers with MPO
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PetridishnnCode for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
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Neural ApiCAI NEURAL API - Pascal based neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
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BsconvReference implementation for Blueprint Separable Convolutions (CVPR 2020)
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shake-drop pytorchPyTorch implementation of shake-drop regularization
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C2DPyTorch implementation of "Contrast to Divide: self-supervised pre-training for learning with noisy labels"
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AlexNetAlexNet model from ILSVRC 2012
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PFL-Non-IIDThe origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage…
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Tf VqvaeTensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
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Tensorflow Cifar 10Cifar-10 CNN implementation using TensorFlow library with 20% error.
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Cot[ICLR'19] Complement Objective Training
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Ali PytorchPyTorch implementation of Adversarially Learned Inference (BiGAN).
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