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tensorbag

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

essence

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AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpose.

Implementing CNN for Digit Recognition (MNIST and SVHN dataset) using PyTorch C++ API

Handwritten-Multiple-Digits-Recognizer

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An Intuitive Desktop GUI Application For Recognizing Multiple Handwritten Digits Drawn At The Same Time. Trained On MNIST Dataset and Built With Python, OpenCV and TKinter

NeuralNetworks

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A resource-conscious neural network implementation for MCUs

yannpp

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Deep Neural Network from scratch in C++ for learning purposes

dni.pytorch

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Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch

DANN-pytorch

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Implementation of DANN with pytorch

GAN-Tutorial

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Simple Implementation of many GAN models with PyTorch.

kaggle-for-fun

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All my submissions for Kaggle contests that I have been, and going to be participating.