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Deep neural networks

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.

https://github.com/jay-johnson/train-ai-with-django-swagger-jwt

Train AI (Keras + Tensorflow) to defend apps with Django REST Framework + Celery + Swagger + JWT - deploys to Kubernetes and OpenShift Container Platform

ai ai-security anti-nex celery celery-tasks deep-neural-networks django-rest-framework drf jwt keras machine-learning machine-learning-security network-analysis network-security openshift rest-api swagger tensorflow

Last synced: 14 Apr 2025

https://github.com/redouanelg/eddynet

EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies

deep-neural-networks oceanic-eddies segmentation selu u-net

Last synced: 13 Apr 2025

https://github.com/SIP-Lab/CNN-VAD

A Convolutional Neural Network based Voice Activity Detector for Smartphones

deep-learning deep-neural-networks digital-signal-processing smartphone speech-processing

Last synced: 14 Nov 2024

https://github.com/soskek/convolutional_seq2seq

fairseq: Convolutional Sequence to Sequence Learning (Gehring et al. 2017) by Chainer

chainer deep-learning deep-neural-networks machine-learning seq2seq

Last synced: 15 Apr 2025

https://github.com/chnsh/deep-semantic-code-search

Deep Semantic Code Search aims to explore a joint embedding space for code and description vectors and then use it for a code search application

deep-learning deep-neural-networks nlp nlp-machine-learning

Last synced: 15 Mar 2025

https://github.com/braun-steven/dfi-tensorflow

Implementation of Deep Feature Interpolation in Tensorflow using a VGG19 model

deep-learning deep-neural-networks machine-learning tensorflow

Last synced: 30 Apr 2025

https://github.com/hellloxiaotian/ctnet

A cross Transformer for image denoising(Information Fusion, 2024)

cnn computer-vision deep-learning deep-neural-networks image-denoising pytorch transformer

Last synced: 13 Apr 2025

https://github.com/qdata/deepchrome

Bioinformatics16: DeepChrome: Deep-learning for predicting gene expression from histone modifications

bioinformatics deep-neural-networks epigenetic-data understanding-computation

Last synced: 01 May 2025

https://github.com/jordicorbilla/ocular-disease-intelligent-recognition-deep-learning

ODIR-2019: Ocular Disease Intelligent Recognition is a project leveraging state-of-the-art deep learning architectures to analyze and classify ocular diseases based on medical imaging data. This repository implements advanced machine learning techniques and modern neural network architectures to push the boundaries of intelligent recognition

computer-vision convolutional-neural-networks deep-learning deep-neural-networks fundus-image-analysis image-classification keras-tensorflow machine-learning medical-image-analysis python python3 tensorflow trasfer-learning

Last synced: 09 Apr 2025

https://github.com/ayulockin/losslandscape

Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi Hu, and Balaji Lakshminarayanan.

deep-neural-networks keras loss-landscape neural-networks tensorflow

Last synced: 30 Apr 2025

https://github.com/vmarkovtsev/bidisentiment

Two-way deep RNN for sentiment classification.

deep-neural-networks recurrent-neural-networks sentiment-analysis

Last synced: 14 Apr 2025

https://github.com/podgorskiy/vae

Example of vanilla VAE for face image generation at resolution 128x128 using pytorch.

autoencoder celeba celeba-dataset deep-learning deep-neural-networks deeplearning faces pytorch vae variational-autoencoder

Last synced: 01 May 2025

https://github.com/nazmul-karim170/UNICON

[CVPR'22] Official Implementation of the CVPR 2022 paper "UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning"

contrastive-learning deep-learning deep-neural-networks jensen-shannon-divergence label-noise-robustness machine-learning noisy-labels semi-supervised-learning

Last synced: 05 Apr 2025

https://github.com/maxmekiska/imbrium

Standard and Hybrid Deep Learning Multivariate-Multi-Step & Univariate-Multi-Step Time Series Forecasting.

deep-learning deep-neural-networks keras tensorflow time-series

Last synced: 09 Apr 2025

https://github.com/sayakpaul/sharpness-aware-minimization-tensorflow

Implements sharpness-aware minimization (https://arxiv.org/abs/2010.01412) in TensorFlow 2.

computer-vision deep-neural-networks generalization loss-landscape tensorflow tpu-acceleration

Last synced: 30 Apr 2025

https://github.com/geoffxy/habitat

🔮 Execution time predictions for deep neural network training iterations across different GPUs.

deep-learning deep-neural-networks gpu neural-networks performance performance-prediction

Last synced: 31 Mar 2025

https://github.com/bokutotu/zenu

A Deep Learning framework with very few dependencies, Written in Rust

ai autograd blas cublas cuda cudnn deep-learning deep-neural-networks gpu-computing hpc rust

Last synced: 05 Apr 2025

https://github.com/hichoe95/Rarity-Score

[ICLR-2023] Rarity Score : A New Metric to Evaluate the Uncommonness of Synthesized Images

deep-neural-networks generative-model metric

Last synced: 15 Nov 2024

https://github.com/hellloxiaotian/ecndnet

Enhanced CNN for image denoising (CAAI Transactions on Intelligence Technology, 2019)

cnn cnn-pytorch deep-learning deep-neural-networks dilated-convolution image-denoise low-level-vision residual-learning

Last synced: 28 Apr 2025

https://github.com/deel-ai/oodeel

Simple, compact, and hackable post-hoc deep OOD detection for already trained tensorflow or pytorch image classifiers.

deep-neural-networks out-of-distribution-detection post-hoc-analysis pytorch robustness tensorflow

Last synced: 10 Apr 2025

https://github.com/pcpLiu/Serrano

A Swift deep learning library with Accelerate and Metal support.

deep-learning deep-neural-networks ios machine-learning macos swift

Last synced: 06 Dec 2024

https://github.com/benedekrozemberczki/FEATHER

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

data-mining deep-learning deep-neural-networks deepwalk graph graph-classification graph-convolution graph-embedding graph-kernel graph2vec machine-learning network-embedding networkx neural-network node-classification node-embedding node2vec pytorch representation-learning tensorflow

Last synced: 17 Apr 2025

https://github.com/benedekrozemberczki/feather

The reference implementation of FEATHER from the CIKM '20 paper "Characteristic Functions on Graphs: Birds of a Feather, from Statistical Descriptors to Parametric Models".

data-mining deep-learning deep-neural-networks deepwalk graph graph-classification graph-convolution graph-embedding graph-kernel graph2vec machine-learning network-embedding networkx neural-network node-classification node-embedding node2vec pytorch representation-learning tensorflow

Last synced: 11 Apr 2025

https://github.com/joisino/speedbook

書籍『深層ニューラルネットワークの高速化』のサポートサイトです。

deep-learning deep-neural-networks distillation efficiency neural-networks pruning pytorch quantization

Last synced: 09 Feb 2025

https://github.com/hristo-vrigazov/dnn.cool

A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.

catalyst deep-learning deep-neural-network deep-neural-networks multitask-learning multitasking pytorch task-composition task-precondition

Last synced: 21 Dec 2024

https://github.com/hellloxiaotian/swcnn

A self-supervised CNN for image watermark removal (IEEE Transactions on Circuits and Systems for Video 2024)

cnn deep-learning deep-neural-networks python pytorch self-supervised-learning unet watermark-removal

Last synced: 28 Apr 2025

https://github.com/rangilyu/mobilenext

non-official PyTorch implementation of MobileNeXt from paper [Rethinking Bottleneck Structure for Efficient Mobile Network Design]

deep-neural-networks mobilenet pytorch

Last synced: 30 Apr 2025

https://github.com/26hzhang/dense_bilstm

Tensorflow Implementation of Densely Connected Bidirectional LSTM with Applications to Sentence Classification

deep-neural-networks highway-network lstm rnn sentence-classification tensorflow

Last synced: 19 Apr 2025

https://github.com/iver56/image-regression

A DNN that takes in x, y and outputs colors at that point to approximately "paint" an image. A toy problem.

deep-neural-networks dnn image keras python regression

Last synced: 20 Mar 2025

https://github.com/mdsunivie/deeperwin

DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing when optimizing wave functions for multiple nuclear geometries and the usage of pre-trained neural network weights to accelerate optimization.

deep-learning deep-neural-networks physical-chem quantum-monte-carlo schrodinger-equation transfer-learning variational-monte-carlo weight-sharing

Last synced: 13 Nov 2024

https://github.com/sidgan/whats_in_a_question

CVPR'17 Spotlight: What’s in a Question: Using Visual Questions as a Form of Supervision

computer-vision deep-learning deep-neural-networks vqa

Last synced: 01 Apr 2025

https://github.com/adityashrm21/information-theory-deep-learning

Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning

deep-learning deep-neural-networks information-theory neural-networks pytorch

Last synced: 29 Apr 2025

https://github.com/onnx/onnx-r

R Interface to Open Neural Network Exchange (ONNX)

cran deep-learning deep-neural-networks onnx rstats

Last synced: 28 Apr 2025

https://github.com/sanechips-multimedia/syenet

SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-Time Performance on Mobile Device, in ICCV 2023

computer-vision deep-neural-networks

Last synced: 20 Mar 2025

https://github.com/saareliad/FTPipe

FTPipe and related pipeline model parallelism research.

deep-neural-networks distributed-training fine-tuning nlp pipeline-parallelism t5

Last synced: 13 Apr 2025

https://github.com/wukevin/babel

Deep learning model for single-cell inference of multi-omic profiles from a single input modality.

deep-neural-networks multi-omics scatac-seq scrna-seq single-cell

Last synced: 10 Apr 2025

https://github.com/karolzak/cntk-hotel-pictures-classificator

This POC is using CNTK 2.1 to train model for multiclass classification of images. Our model is able to recognize specific objects (i.e. toilet, tap, sink, bed, lamp, pillow) connected with picture types we are looking for. It plays a big role in a process which will be used to classify pictures from different hotels and determine whether it's a picture of bathroom, bedroom, hotel front, swimming pool, bar, etc.

ai alexnet-model classification cntk cntk-model cognitive-toolkit deep-learning deep-neural-networks dsvm faster-rcnn machine-learning ml object-classification object-detection python transfer-learning

Last synced: 30 Apr 2025

https://github.com/JeffWang0325/Image-Identification-for-Self-Driving-Cars

🖍️ This project achieves some functions of image identification for Self-Driving Cars. First, use yolov5 for object detection. Second, image classification for traffic light and traffic sign. Furthermore, the GUI of this project makes it more user-friendly for users to realize the image identification for Self-Driving Cars.

computer-vision convolutional-neural-networks deep-learning deep-neural-networks dr droidcam python pytorch real-time-detection self-driving-car tensorflow tkinter tkinter-gui tkinter-python traffic-light-classification traffic-sign-classification webcam webcam-capture yolo yolov5

Last synced: 21 Apr 2025

https://github.com/lumtis/react-native-caffe2

React native package to use caffe2 models. Use deep learning on hybrid mobile application within 2 min

android caffe2 deep-learning deep-neural-networks hybrid image-classification ios machine-learning mobile-app npm-package opencv2 react-native

Last synced: 15 Feb 2025

https://github.com/yu-iskw/google-cloud-deep-learning-kit

Create a GPU instance on GCP with Jupyter + Keras(Tensorflow) + Nvidia Docker

deep-learning deep-neural-networks docker google-cloud gpu jupyter keras nvidia-docker tensorflow

Last synced: 05 Apr 2025

https://github.com/ahmedfgad/introdlpython

This repository is updated by a number of introductory projects to deep learning with Python.

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks gradient-descent numpy python

Last synced: 23 Apr 2025

https://github.com/ofnote/tsanley

A runtime shape checker and auto-annotator for tensor programs (pronounced "stanley")

deep-learning deep-neural-networks neural-networks numpy pytorch tensorflow

Last synced: 13 Feb 2025

https://github.com/charlesll/i-melt

i-Melt is a machine learning model of the properties of aluminosilicate melts and glasses

deep-learning deep-neural-networks geosciences glass machine-learning material pgnn python pytorch

Last synced: 09 Apr 2025

https://github.com/mravanelli/pytorch_MLP_for_ASR

This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

asr cuda deep-learning deep-neural-networks feedforward-neural-network kaldi kaldi-asr mlp multilayer-perceptron neural-networks python pytorch speech-recognition timit

Last synced: 27 Nov 2024

https://github.com/mravanelli/pytorch_mlp_for_asr

This code implements a basic MLP for speech recognition. The MLP is trained with pytorch, while feature extraction, alignments, and decoding are performed with Kaldi. The current implementation supports dropout and batch normalization. An example for phoneme recognition using the standard TIMIT dataset is provided.

asr cuda deep-learning deep-neural-networks feedforward-neural-network kaldi kaldi-asr mlp multilayer-perceptron neural-networks python pytorch speech-recognition timit

Last synced: 02 Dec 2024

https://github.com/vita-group/usaid

[Preprint] "Segmentation-Aware Image Denoising without Knowing True Segmentation"

deep-neural-networks denoising pytorch segmentation-aware unsupervised-learning

Last synced: 19 Apr 2025

https://github.com/corochann/chainer-pointnet

Chainer implementation of PointNet, PointNet++, KD-Network and 3DContextNework

chainer classification cupy deep-learning deep-neural-networks pointnet segmentation

Last synced: 14 Apr 2025

https://github.com/SafeAILab/zkDL

zkDL, an open source toolkit for zero-knowledge proofs of deep learning powered by CUDA

cuda deep-neural-networks gpu-acceleration privacy-enhancing-technologies zero-knowledge-proof

Last synced: 01 May 2025