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17 search results found

Transformertts ⭐ 977

🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.

Forward ⭐ 491

A library for high performance deep learning inference on NVIDIA GPUs.

Softmax Splatting ⭐ 410

an implementation of softmax splatting for differentiable forward warping using PyTorch

Pytorch Correlation Extension ⭐ 385

Custom implementation of Corrleation Module

Deep Reinforcement Learning Book ⭐ 200

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

Abstractive Summarization ⭐ 113

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

Petridishnn ⭐ 110

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

Forward Thinking Pytorch ⭐ 66

Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"

Diffhask ⭐ 26

DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.

MWCNN implementation based on Pytorch

Benchmarks of Deep Neural Networks

Lookahead_tensorflow ⭐ 21

Lookahead optimizer ("Lookahead Optimizer: k steps forward, 1 step back") for tensorflow

Activeragdollcontrollers ⭐ 20

Research into controllers for 2d and 3d Active Ragdolls (using MujocoUnity+ml_agents)

Pytorch Curveball ⭐ 19

A second-order optimizer for deep networks

Pytensor ⭐ 12

A numpy deep learning framework

Signal Classification Comparison ⭐ 12

Classify signal using Deep Learning on Tensorflow and various machine learning models.

Visual Backprop Mxnet ⭐ 8

Implementation of Visual Backprop for MXNet

Cloth_classification_deeplearning ⭐ 6

Cloth Classification (Feed forward neural net vs sequence model)

Saliency_backwardforwardfeatures_vgg16 ⭐ 6

Saliency Detection Using Backward and Forward Features of Deep CNN IEEE ICIP 2017

Machinelearningconcepts ⭐ 6

A list of tutorials that helped me understand certain concepts.

Dlnn Week 02 ⭐ 5

In this week we discussed about Feed Forward Type Neural Networks, Supervised Deep Learning and Forward Propagation and implemented simple 4 layer Deep FFNN for Iris Flower example.

How weight initialization affects forward and backward passes of a deep neural network

Dl Without Weight Transport Pytorch ⭐ 5

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