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pytorch-tutorials

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🤖 | Learning PyTorch through official examples

ConvNets-TensorFlow2

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⛵️ Implementation a variety of popular Image Classification Models using TensorFlow2. [ResNet, GoogLeNet, VGG, Inception-v3, Inception-v4, MobileNet, MobileNet-v2, ShuffleNet, ShuffleNet-v2, etc...]

tf-faster-rcnn

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Tensorflow Faster RCNN for Object Detection

SimCLRv2-Pytorch

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Pretrained SimCLRv2 models in Pytorch

HyperNetworks

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PyTorch implementation of HyperNetworks (Ha et al., ICLR 2017) for ResNet (Residual Networks)

video_features

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Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

CoreML-samples

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Sample code for Core ML using ResNet50 provided by Apple and a custom model generated by coremltools.

Deep-reinforcement-learning-with-pytorch

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PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

tensorbag

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Collection of tensorflow notebooks tutorials for implementing some basic Deep Learning architectures.