- California
- http://ebadawy.github.io
Stars
This repository contains demos I made with the Transformers library by HuggingFace.
Neural Networks: Zero to Hero
A collection of libraries to optimise AI model performances
Neural Scene Flow Fields using pytorch-lightning, with potential improvements
A multi-voice TTS system trained with an emphasis on quality
A repository for benchmarking neural vocoders by their quality and speed.
Model parallel transformers in JAX and Haiku
Spectrograms, MFCCs, and Inversion Demo in a jupyter notebook
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
DeepMind's Tacotron-2 Tensorflow implementation
Repo for the Deep Reinforcement Learning Nanodegree program
Tensorflow-based CNN+LSTM trained with CTC-loss for OCR
A best practice for tensorflow project template architecture.
An attempt at replicating the Matching Networks for One Shot Learning in Tensorflow - Paper URL: https://arxiv.org/pdf/1606.04080.pdf
A tensorflow implementation of google's AC-GAN ( Auxiliary Classifier GAN ).
A Tensorflow(v1.4) implementation of Capsule Networks (Dynamic Routing Between Capsules , https://arxiv.org/abs/1710.09829)
Tensorflow implementation for Conditional Convolutional Adversarial Networks.
Pytorch implementation of Generative Adversarial Text-to-Image Synthesis paper
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Implementation of Sequence Generative Adversarial Nets with Policy Gradient
Generative adversarial networks (GAN) applied to sequential data via recurrent neural networks (RNN).
A program to evaluate the quality of image segmentations.
Reinforcement learning environments with musculoskeletal models
Deep learning with cats (^._.^)
Recurrent Neural Network - A curated list of resources dedicated to RNN