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

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

MONeT framework for reducing memory consumption of DNN training

Unity Post Processing with Convolution Neural Network

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

vehicle image retrieval using k CNNs ensemble method

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

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

pix2code: Generating Code from a Graphical User Interface Screenshot

Flops counter for convolutional networks in pytorch framework

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

Implementation of my paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

🔥🌟《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!

Super Resolution of picture images using deep learning

Keras Interface for Kaldi ASR

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

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

Speech Recognition model based off of FAIR research paper built using Pytorch.

Chinese Speech To Text Using Wavenet

Simple Convolutional Neural Network Library

PSPNet in Chainer

Code for Pointwise Convolutional Neural Networks, CVPR 2018

Keras implementation of a CNN network for age and gender estimation

Hand-gesture recognition on iOS app using CoreML

Deep Neural Network Sandbox for JavaScript.

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

Caffe2 is a lightweight, modular, and scalable deep learning framework.

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

Fake News Detection using Deep Learning models in Tensorflow

A fully convolution-network for speech-to-text, built on pytorch.

A curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.

Identifying people from small audio fragments

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

A collection of Natural language processing pre-trained models.

Code for Mimicking Word Embeddings using Subword RNNs (EMNLP 2017)

Image augmentation for machine learning experiments.

A collection of materials to help you learn about deep learning

📢 Ready to learn or review your knowledge!

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

My Solution to Assignments of CS231n in Winter2016

A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.

Object classification with CIFAR-10 using transfer learning

All DeepLearning4j projects go here.

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

Resources for deep learning with satellite & aerial imagery

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

TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).

Quantization of Convolutional Neural networks.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

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

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.

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

Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info

Graph Transforms to Quantize and Retrain Deep Neural Nets in TensorFlow

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

CRF-RNN PyTorch version http://crfasrnn.torr.vision

CNN Image Retrieval in MatConvNet: Training and evaluating CNNs for Image Retrieval in MatConvNet

Dynamic Image Networks for Action Recognition

Keras implementation of CycleGAN using a tensorflow backend.

Various CNN models for CIFAR10 with Chainer

DLTK Model Zoo