Applied Scientist at @Microsoft working on natural language and code. Previously NYU, @IBM research, @amzn.
pytorch-summary. Model summary in PyTorch similar to `model.summary()` in Keras
4.1kpytorch-vae. A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch
303pytorch-mdn. Mixture Density Networks (MDN) implemented in PyTorch
66cnn-face-recognition. Facial Keypoints Detection & Recognition
46deep-rl-quadcopter. Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!
21cnn-colorize. CNN Model to Colorize Grayscale Images
17curiosity-is-all-you-need. PyTorch implementation of Curiosity Is All You Need
8dl-papernotes. Summaries and notes on Deep Learning research papers
8conservative-two-phase-locking. Concurrency control method
6dcgan. A PyTorch implementation of "Deep Convolutional Generative Adversarial Networks" with Multiple Discriminator.
5dqn-flappybird. Deep Q-Learning trained to play Flappy Bird
4neural-machine-translation. PyTorch Neural Machine Translation
3deep-learning. Repo for the Deep Learning Nanodegree Foundations program.
3examples. A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
2cnn-localization. Object Detection and Localization finetuning a Classification Model
2cognitive-language-learning. Using Language Models to study cognitive understanding of language learning
1cnn-learn. Implementation of building blocks to Convolutional Neural Network. Exercises and solution to Andrej Karpathy's Deep Learning course.
1continuous-control. HTML
1ML-From-Scratch. Machine Learning From Scratch. Bare bones Python implementations of Machine Learning models and algorithms with a focus on transparency and accessibility. Aims to cover everything from Data Mining techniques to Deep Learning.
1ur-submission-requests. Udacity reviewer submission requests details
1gan-pytorch. Generative Adversarial Networks (GANs) in PyTorch
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