Deep neural networks topic
Deep neural networks (DNNs) are a class of artificial neural networks (ANNs) that are deep in the sense that they have many layers of hidden units between the input and output layers. Deep neural networks are a type of deep learning, which is a type of machine learning. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing. Deep neural networks are used in a variety of applications, including speech recognition, computer vision, and natural language processing.
BlinkDL
A minimalist deep learning library in Javascript using WebGL + asm.js. Run convolutional neural network in your browser.
DeepCrack
DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.
DeepSegmentor
A Pytorch implementation of DeepCrack and RoadNet projects.
Improved-Dynamic-Memory-Networks-DMN-plus
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...
bayesian-deep-learning-demystified
In which I try to demystify the fundamental concepts behind Bayesian deep learning.
DeepNAG
Deep Non-Adversarial Gesture Generation
hello_tf_c_api
Neural Network TensorFlow C API
self-supervised-relational-reasoning
Official PyTorch implementation of the paper "Self-Supervised Relational Reasoning for Representation Learning", NeurIPS 2020 Spotlight.
darkflow
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Human-Activity-Recognition
Recognizing human activities using Deep Learning