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Pytorch_bn_fusion ⭐ 192

Batch normalization fusion for PyTorch

Deeplearning_from_scratch ⭐ 16

A Deep Learning framework for CNNs and LSTMs from scratch, using NumPy.

Stochastic Downsampling for Cost-Adjustable Inference and Improved Regularization in Convolutional Networks

Neuralnetwork ⭐ 9

Neural Network implementation in Numpy and Keras. Batch Normalization, Dropout, L2 Regularization and Optimizers

We aim to generate realistic images from text descriptions using GAN architecture. The network that we have designed is used for image generation for two datasets: MSCOCO and CUBS.

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