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1. Visual-Recognition-using-CNN Visual-Recognition-using-CNN Public

   Image classification using ConvNets models for Fashion-MNIST dataset.

   Jupyter Notebook 8 2

2. Neural-Machine-Translation Neural-Machine-Translation Public

   Experiments with different NMT (neural machine translation) models using TensorFlow, Keras.

   Python 23 7

3. Autoencoders Autoencoders Public

   Implementation of denoise, sparse, contractive, variational autoencoder (VAE) and Beta-VAE in Tensorflow 2.0.

   Python 6 2

4. Image-Super-Resolution Image-Super-Resolution Public

   Implementation of SOTA Super Resolution Models using CNNs in TensorFlow 2.0.

   Python

5. Quick-Machine-Learning-Notes Quick-Machine-Learning-Notes Public

   Quick notes on Machine Learning. Read on the fly.

   Jupyter Notebook 13 6

6. Data-Science-101 Data-Science-101 Public

   Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

   Jupyter Notebook 20 4