2834 Open source projects that are alternatives of or similar to Deepseqslam

PyTorch tutorial for learners

RMDL: Random Multimodel Deep Learning for Classification

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

convolutional lstm implementation in pytorch

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Deep learning codes and projects using Python

Keras tutorial for beginners (using TF backend)

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solution of exercises of the book "probabilistic robotics"

PyTorch implementation of LeNet-5 with live visualization

TensorFlow and Deep Learning Tutorials

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'

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

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

Be Driven 🚘

A Natural Language Toolkit for Indian Languages

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

⚡️ The Mobile Robot Programming Toolkit (MRPT)

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

RNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.

A collection of UNet and hybrid architectures in PyTorch for 2D and 3D Biomedical Image segmentation

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Application of machine learning to the Coinbase (GDAX) orderbook

Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

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.

HDLTex: Hierarchical Deep Learning for Text Classification

Python sample codes for robotics algorithms.

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

Anomaly detection implemented in Keras

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Tensorflow implementation of Synthetic Gradient for RNN (LSTM)

Implementation of the CNN from End to End Learning for Self-Driving Cars on a Nvidia Jetson TX1 using Tensorflow and ROS

BUILDING AN AUTOMATIC VEHICLE BASED ON STEREO CAMERA

Implementation of a hierarchical CNN based model to detect Big Five personality traits

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

Pepper Programs : Object Detection Real Time without ROS

Lightweight C++11 library for building deep recurrent neural networks

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

This is an open sourced book on deep learning.

All about Neural Networks!

Named Entity Recognition using multilayered bidirectional LSTM

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

2019 DGIST DPoom project under UGRP : SBC and RGB-D camera based full autonomous driving system for mobile robot with indoor SLAM

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