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Top 738 deep-neural-networks open source projects

Germanwordembeddings
Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets
Snn toolbox
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
Megalodon
Various ML/DL Resources organised at a single place.
Deep Survey Text Classification
The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.
Plotneuralnet
Latex code for making neural networks diagrams
Sparse Evolutionary Artificial Neural Networks
Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).
Smoothing Adversarial
Code for our NeurIPS 2019 *spotlight* "Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers"
Vidaug
Effective Video Augmentation Techniques for Training Convolutional Neural Networks
Awesome Deep Learning For Chinese
最全的中文版深度学习资源索引,包括论文,慕课,开源框架,数据集等等
Deep Math Machine Learning.ai
A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.
Numpydl
Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
Terngrad
Ternary Gradients to Reduce Communication in Distributed Deep Learning (TensorFlow)
Pytorch Kaldi
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.
Deepstream Yolo
NVIDIA DeepStream SDK 5.1 configuration for YOLO models
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 Question Answering)
Onnx Caffe2
Caffe2 implementation of Open Neural Network Exchange (ONNX)
Pytorch bn fusion
Batch normalization fusion for PyTorch
Tf Adnet Tracking
Deep Object Tracking Implementation in Tensorflow for 'Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning(CVPR 2017)'
Applied Deep Learning With Tensorflow
Learn applied deep learning from zero to deployment using TensorFlow 1.8+
Squeezesegv2
Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud
Aw nas
aw_nas: A Modularized and Extensible NAS Framework
Msg Net
Multi-style Generative Network for Real-time Transfer
Cyclegan Keras
Keras implementation of CycleGAN using a tensorflow backend.
Awesome Deep Neuroevolution
A collection of Deep Neuroevolution resources or evolutionary algorithms applying in Deep Learning (constantly updating)
Tutorial separation
This repo summarizes the tutorials, datasets, papers, codes and tools for speech separation and speaker extraction task. You are kindly invited to pull requests.
Densenet Sdr
repo that holds code for improving on dropout using Stochastic Delta Rule
Models Comparison.pytorch
Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures
Arc Pytorch
The first public PyTorch implementation of Attentive Recurrent Comparators
Collaborative Experts
Video embeddings for retrieval with natural language queries
Easy Neural Ode
Code for the paper "Learning Differential Equations that are Easy to Solve"
Pix2code
pix2code: Generating Code from a Graphical User Interface Screenshot
Awesome Deepneuroimage
A curated list of awesome deep learning applications in the field of neurological image analysis
Multihead Siamese Nets
Implementation of Siamese Neural Networks built upon multihead attention mechanism for text semantic similarity task.
Livianet
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"
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