888 Open source projects that are alternatives of or similar to Vidaug

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.

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.

Detect the programming language of a source code

The first public PyTorch implementation of Attentive Recurrent Comparators

A simple interface for editing natural photos with generative neural networks.

Page to PAGE Layout Analysis Tool

Learn applied deep learning from zero to deployment using TensorFlow 1.8+

Fast Neural Style Transfer implementation in PyTorch 🎨 🎨 🎨

Video embeddings for retrieval with natural language queries

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

A Compositional Object-Based Approach to Learning Physical Dynamics

Code for the paper "Learning Differential Equations that are Easy to Solve"

An Engine-Agnostic Deep Learning Framework in Java

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Crack detection for an autonomous UAV

pix2code: Generating Code from a Graphical User Interface Screenshot

🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

Finetuning AlexNet, VGGNet and ResNet with TensorFlow

Image Deblurring using Generative Adversarial Networks

machine learning and deep learning tutorials, articles and other resources

A curated list of awesome deep learning applications in the field of neurological image analysis

Simple Convolutional Neural Network Library

Real time face alignment

Hand-gesture recognition on iOS app using CoreML

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

Implementation of Very Deep Convolutional Neural Network for Text Classification

Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.

Identifying people from small audio fragments

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

[ACM MM 2018] Attribute-Aware Attention Model for Fine-grained Representation Learning

Quantization of Convolutional Neural networks.

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

深度学习论文阅读路线图

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Theano Implementation of DMN+ (Improved Dynamic Memory Networks) from the paper by Xiong, Merity, & Socher at MetaMind, http://arxiv.org/abs/1603.01417 (Dynamic Memory Networks for Visual and Textual Question Answering)

Keras implementation of Human Action Recognition for the data set State Farm Distracted Driver Detection (Kaggle)

StarNet

Fast inference engine for OpenNMT models

TensorFlow implementation of AlexNet and its training and testing on ImageNet ILSVRC 2012 dataset

Data augmentation for NLP

OSMDeepOD - OpenStreetMap (OSM) and Machine Learning (Deep Learning) based Object Detection from Aerial Imagery (Formerly also known as "OSM-Crosswalk-Detection").

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

Speaker independent emotion recognition

Archived - not answering issues

Efficient Sparse-Winograd Convolutional Neural Networks (ICLR 2018)

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.

An Unsupervised Learning Framework for Moving Object Detection From Videos

Official PyTorch implementation of NICE-GAN: Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

A journey into Convolutional Neural Network visualization

Learning Chinese Character style with conditional GAN

Labeled images of the Where's Waldo puzzle for use in classification and image recognition problems.

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

🌲 Great Ruby logging made easy.

CNN image classifier implemented in Keras Notebook 🖼️.