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

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

A curated list of Deep Learning resources sorted by reputation

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

Implementation of Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) on Pytorch.

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

Generate slow-motion videos by interpolating more frames

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.

Training and inference code for ExpandNet

Abnormal Event Detection in Videos using SpatioTemporal AutoEncoder

Programmable Neural Network Compression

Detect the programming language of a source code

SWA Object Detection

The first public PyTorch implementation of Attentive Recurrent Comparators

A bare-bones TensorFlow framework for Bayesian deep learning and Gaussian process approximation

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

Tensorflow Implementation of "Recurrent Convolutional Neural Network for Text Classification" (AAAI 2015)

Page to PAGE Layout Analysis Tool

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

🌲 Great Ruby logging made easy.

Javascript/WebAssembly deep learning library for MLPs and convolutional neural networks

Video embeddings for retrieval with natural language queries

A simpler way of reading and augmenting image segmentation data into TensorFlow

NVIDIA DeepStream SDK 5.1 configuration for YOLO models

A metric for Perceptual Image-Error Assessment through Pairwise Preference (PieAPP at CVPR 2018).

An Engine-Agnostic Deep Learning Framework in Java

MONeT framework for reducing memory consumption of DNN training

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

Data augmentation using synthetic data for time series classification with deep residual networks

pix2code: Generating Code from a Graphical User Interface Screenshot

Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)

🔥🌟《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!

Keras Interface for Kaldi ASR

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

Simple Convolutional Neural Network Library

Code for Pointwise Convolutional Neural Networks, CVPR 2018

Hand-gesture recognition on iOS app using CoreML

Cluster images based on image content using a pre-trained deep neural network, optional time distance scaling and hierarchical clustering.

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

CNN image classifier implemented in Keras Notebook 🖼️.

Identifying people from small audio fragments

Repository has been moved: https://github.com/adobe/antialiased-cnns

Caffe2 implementation of Open Neural Network Exchange (ONNX)

Implementations of some popular Saliency Maps in Keras

Weakly Supervised Deep Detection Networks (CVPR 2016)

Densely Residual Laplacian Super-resolution, IEEE Pattern Analysis and Machine Intelligence (TPAMI), 2020

Object classification with CIFAR-10 using transfer learning

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

TI-pooling: transformation-invariant pooling for feature learning in Convolutional Neural Networks

Quantization of Convolutional Neural networks.

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

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

Lung fields segmentation on CXR images using convolutional neural networks.

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

PaddlePaddle End-to-End Development Toolkit（『飞桨』深度学习全流程开发工具）

High-quality Neural Networks for Computer Vision 😎

This's an implementation of deepmind Visual Interaction Networks paper using pytorch

aw_nas: A Modularized and Extensible NAS Framework

TensorFlow implementation of "SoundNet".