419 Open source projects that are alternatives of or similar to Dogtorch

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

Python implementation of bag-of-concepts

A word2vec port for Windows.

Multilingual Meta-Embeddings for Named Entity Recognition (RepL4NLP & EMNLP 2019)

RNN-based generative models for speech.

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

TensorFlow and Deep Learning Tutorials

Text classifier for Hierarchical Attention Networks for Document Classification

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

The implementation of DeBERTa

representation learning on attributed graphs

A Recurrent Neural Network to predict Bitcoin value

A Simple Example for Imitation Learning with Dataset Aggregation (DAGGER) on Torcs Env

GraphVite: A General and High-performance Graph Embedding System

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow

Official implementation for NIPS'17 paper: PredRNN: Recurrent Neural Networks for Predictive Learning Using Spatiotemporal LSTMs.

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

Open-source simulator for autonomous driving research.

Image Captioning: Implementing the Neural Image Caption Generator with python

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Image Generation).

Official PyTorch implementation of paper "A Hybrid Compact Neural Architecture for Visual Place Recognition" by M. Chancán (RA-L & ICRA 2020) https://doi.org/10.1109/LRA.2020.2967324

Visualization Toolbox for Long Short Term Memory networks (LSTMs)

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Feeding images of time series to Conv Nets! (Tensorflow + Keras)

Gradients as Features for Deep Representation Learning

Autonomous driving: Tensorflow implementation of the paper "End-to-end Driving via Conditional Imitation Learning"

Deep learning for price movement prediction using high frequency limit order data

Get started with Machine Learning in TensorFlow with a selection of good reads and implemented examples!

name entity recognition with recurrent neural network(RNN) in tensorflow

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

For recognising hand gestures using RNN and LSTM... Implementation in TensorFlow

A Natural Language Toolkit for Indian Languages

A collection of research on knowledge graphs

PGDrive: an open-ended driving simulator with infinite scenes from procedural generation

PyTorch Implementation of the RDPG (Recurrent Deterministic Policy Gradient)

Compressing Representations for Self-Supervised Learning

Named Entity Recognition with RNN, implemented by Chainer

A Python package for gender classification.

List of papers, code and experiments using deep learning for time series forecasting

TensorFlow implementation of multi-layer recurrent neural networks for training and sampling from texts

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Handwritten Text Recognition (HTR) system implemented with TensorFlow.

Visualizing RNNs using the attention mechanism

Recurrent Neural Network using randomized SMILES strings to generate molecules

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

Application of machine learning to the Coinbase (GDAX) orderbook

Machine Learning on Sequential Data Using a Recurrent Weighted Average

Machine Reading Comprehension in Tensorflow

Deep Reinforcement Learning based Trading Agent for Bitcoin

TensorFlow 1.3 experiment with LSTM (and GRU) RNNs for sine prediction

Platform for backtesting and live-trading intraday Stock/ETF/ELW using recurrent neural networks

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

Tensorflow Implementation of Recurrent Convolutional Neural Network for Relation Extraction

Sentiment Analysis on the First Republic Party debate in 2016 based on Python,NLTK and ML.

The Official Deep Learning Framework for Route-based Place Recognition

parsing scene images with understanding geometric perspective in the loop