sksq96/cognitive-language-learning

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Created over 4 years ago
Updated over 3 years ago

sksq96/cognitive-language-learning

sksq96

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Using Language Models to study cognitive understanding of language learning

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras

pytorch-vae

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Jupyter Notebook

pytorch-mdn

Mixture Density Networks (MDN) implemented in PyTorch

Jupyter Notebook

cnn-face-recognition

Facial Keypoints Detection & Recognition

deep-rl-quadcopter

Implementation of Deep Deterministic Policy Gradients (DDPG) to teach a Quadcopter How to Fly!

cnn-colorize

CNN Model to Colorize Grayscale Images

dl-papernotes

Summaries and notes on Deep Learning research papers

curiosity-is-all-you-need

PyTorch implementation of Curiosity Is All You Need

conservative-two-phase-locking

Concurrency control method

dcgan

A PyTorch implementation of "Deep Convolutional Generative Adversarial Networks" with Multiple Discriminator.

dqn-flappybird

Deep Q-Learning trained to play Flappy Bird

neural-machine-translation

PyTorch Neural Machine Translation

Jupyter Notebook

cnn-localization

Object Detection and Localization finetuning a Classification Model

Jupyter Notebook

continuous-control

ur-submission-requests

Udacity reviewer submission requests details

gan-pytorch

Generative Adversarial Networks (GANs) in PyTorch

Jupyter Notebook

cnn-learn

Implementation of building blocks to Convolutional Neural Network. Exercises and solution to Andrej Karpathy's Deep Learning course.

Jupyter Notebook