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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/basalt-org/basalt

A Machine Learning framework from scratch in Pure Mojo 🔥

ai autograd deep-learning deep-neural-networks machine-learning ml mojo neural-network tensor

Last synced: 04 Aug 2024

https://github.com/annamalai-nr/graph2vec_tf

This repository contains the "tensorflow" implementation of our paper "graph2vec: Learning distributed representations of graphs".

deep-learning deep-neural-networks graph graph-kernels kdd skipgram tensorflow

Last synced: 30 Oct 2024

https://github.com/bukosabino/btctrading

Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms

bitcoin deep-learning deep-neural-networks forecast future machine-learning machine-learning-algorithms prediction price time-series trends xgboost

Last synced: 27 Oct 2024

https://github.com/sanyam5/arc-pytorch

The first public PyTorch implementation of Attentive Recurrent Comparators

computer-vision deep-learning deep-neural-networks machine-learning pytorch recurrent-neural-networks

Last synced: 07 Aug 2024

https://github.com/NVlabs/condensa

Programmable Neural Network Compression

deep-neural-networks model-compression model-pruning

Last synced: 02 Aug 2024

https://github.com/CEA-LIST/N2D2

N2D2 is an open source CAD framework for Deep Neural Network simulation and full DNN-based applications building.

artificial-intelligence deep-learning deep-learning-library deep-neural-networks machine-learning neural-network spike-inference

Last synced: 02 Aug 2024

https://github.com/cangermueller/deepcpg

Deep neural networks for predicting CpG methylation

deep-neural-networks deeplearning epigenetics methylation single-cell

Last synced: 01 Aug 2024

https://github.com/zilliztech/phantoscope

Open Source, Cloud Native, RESTful Search Engine Powered by Neural Networks

cloud-native deep-learning deep-neural-networks image-search machine-learning microservices milvus

Last synced: 06 Nov 2024

https://github.com/emergentorder/onnx-scala

An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3

deep-learning deep-neural-networks dotty jvm machine-learning neural-network onnx scala scala3

Last synced: 30 Oct 2024

https://github.com/EmergentOrder/onnx-scala

An ONNX (Open Neural Network eXchange) API and backend for typeful, functional deep learning and classical machine learning in Scala 3

deep-learning deep-neural-networks dotty jvm machine-learning neural-network onnx scala scala3

Last synced: 04 Aug 2024

https://sweppner.github.io/labeld/

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

annotations data-tagging deep-learning deep-neural-networks image-annotation image-classification

Last synced: 03 Aug 2024

https://github.com/sweppner/labeld

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

annotations data-tagging deep-learning deep-neural-networks image-annotation image-classification

Last synced: 03 Aug 2024

https://github.com/hkust-vgd/pointwise

Code for Pointwise Convolutional Neural Networks, CVPR 2018

deep-learning deep-neural-networks point-cloud

Last synced: 28 Oct 2024

https://github.com/QData/AdversarialDNN-Playground

VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo

adversarial-samples deep-neural-networks machine-learning neural-network python tensorflow visualization

Last synced: 02 Aug 2024

https://github.com/mortenjust/trainer-mac

Trains a model, then generates a complete Xcode project that uses it - no code necessary

ai deep-learning deep-neural-networks image-recognition ios machine-learning swift tensorflow xcode

Last synced: 14 Oct 2024

https://github.com/ericmjl/bayesian-deep-learning-demystified

In which I try to demystify the fundamental concepts behind Bayesian deep learning.

bayesian bayesian-deep-learning deep-learning deep-neural-networks deeplearning fundamental-concepts

Last synced: 14 Oct 2024

https://github.com/leverxgroup/esrgan

Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution

computer-vision deep-neural-networks generative-adversarial-network image-processing pytorch super-resolution

Last synced: 26 Oct 2024

https://github.com/alex-lechner/traffic-light-classification

A detailed tutorial on how to build a traffic light classifier with TensorFlow for the capstone project of Udacity's Self-Driving Car Engineer Nanodegree Program.

convolutional-neural-networks deep-learning deep-neural-networks tensorflow tensorflow-models tensorflow-tutorials traffic-light-classification traffic-light-detection traffic-lights

Last synced: 10 Oct 2024

https://github.com/yu4u/dnn-watermark

Implementation of "Embedding Watermarks into Deep Neural Networks," in Proc. of ICMR'17.

deep-learning deep-neural-networks keras watermak

Last synced: 29 Oct 2024

https://github.com/cgtuebingen/Flex-Convolution

Source code for: Flex-Convolution (Million-Scale Point-Cloud Learning Beyond Grid-Worlds), accepted at ACCV 2018

3d-point-clouds cuda deep-learning deep-neural-networks machine-learning pointcloud pointcloudprocessing research research-paper segmentation shapenet tensorflow

Last synced: 27 Oct 2024

https://github.com/haoxiangsnr/IRM-based-Speech-Enhancement-using-LSTM

Ideal Ratio Mask (IRM) Estimation based Speech Enhancement using LSTM

deep-neural-networks ideal-ratio-mask lstm pytorch speech-enhancement

Last synced: 02 Nov 2024

https://github.com/RobotEdh/Yolov-4

Yolo v4 using TensorFlow 2.x

deep-neural-networks tensorflow tensorflow2 yolo yolov4

Last synced: 27 Oct 2024

https://github.com/billyblu2000/AccoMontage2

Chord and accompaniment generator, pure python package that generate chord progression and accompaniment according to given melodies. Code for paper AccoMontage2: A Complete Harmonization and Accompaniment Arrangement System.

chord-progression computer-music deep-neural-networks dp midi python

Last synced: 05 Aug 2024

https://github.com/safellama/plexiglass

A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

adversarial-attacks adversarial-machine-learning cybersecurity deep-learning deep-neural-networks machine-learning security

Last synced: 01 Aug 2024

https://github.com/knjcode/mxnet-finetuner

An all-in-one Deep Learning toolkit for image classification to fine-tuning pretrained models using MXNet.

deep-learning deep-neural-networks fine-tuning-cnns machine-learning mxnet

Last synced: 01 Aug 2024

https://github.com/kortex-labs/plexiglass

A toolkit for detecting and protecting against vulnerabilities in Large Language Models (LLMs).

adversarial-attacks adversarial-machine-learning cybersecurity deep-learning deep-neural-networks machine-learning security

Last synced: 22 Aug 2024

https://github.com/palle-k/DL4S

Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux

autograd automatic-differentiation convolutional-neural-networks deep-learning deep-neural-networks derivatives gradient-descent machine-learning neural-networks optimizers recurrent-networks recurrent-neural-networks swift swift-machine-learning tensor

Last synced: 17 Aug 2024

https://github.com/bzantium/pytorch-admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

admm deep-neural-networks pruning

Last synced: 02 Nov 2024

https://github.com/doocs/deep-learning

🙃 深度学习实践与知识总结

ai deep-learning deep-neural-networks doocs pytorch tensorflow

Last synced: 30 Oct 2024

https://github.com/Carmezim/MIT-6.S094

MIT-6.S094: Deep Learning for Self-Driving Cars Assignments solutions

6s094 assignments deep-learning deep-neural-networks lectures mit self-driving-car

Last synced: 07 Aug 2024

https://github.com/clesleycode/deep-learning-python

Intro to Deep Learning, including recurrent, convolution, and feed forward neural networks.

curriculum deep-learning deep-neural-networks lasagne python theano

Last synced: 07 Aug 2024

https://github.com/maekawatoshiki/altius

Small ONNX inference runtime written in Rust

deep-neural-networks onnx rust wasm

Last synced: 31 Oct 2024

https://github.com/blinkdl/blinkdl

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

alphago deep-learning deep-neural-networks deeplearning neural-network neural-networks

Last synced: 22 Oct 2024

https://github.com/Fontinalis/fonet

fonet is a deep neural network package for Go.

deep-neural-networks golang machine-learning

Last synced: 26 Oct 2024

https://github.com/sayakpaul/adaptive-gradient-clipping

Minimal implementation of adaptive gradient clipping (https://arxiv.org/abs/2102.06171) in TensorFlow 2.

colab-notebook computer-vision deep-neural-networks normalization-free-training tensorflow2

Last synced: 22 Oct 2024

https://github.com/hellloxiaotian/acnet

Asymmetric CNN for image super-resolution (IEEE Transactions on Systmes, Man, and Cybernetics: Systems 2021)

blind-super-resolution cnn cnn-pytorch deep-learning deep-network deep-neural-networks image-processing low-level-vision python2 python27 pytorch pytorch-cnn super-resolution

Last synced: 12 Oct 2024

https://github.com/kailaix/AdFem.jl

Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling

adjoint-method automatic-differentiation deep-neural-networks finite-element-methods machine-learning numerical-pdes

Last synced: 02 Aug 2024

https://github.com/napsternxg/deepsequenceclassification

Deep neural network based model for sequence to sequence classification

deep-neural-networks named-entity-recognition sequence-classification

Last synced: 28 Oct 2024

https://github.com/layumi/awesome-fools

:skull: A collection of methods to fool the deep neural network :skull:

adversarial-attacks awesome-list deep-learning deep-neural-networks defense fool

Last synced: 31 Oct 2024

https://github.com/fabioperez/pytorch-examples

Tutorials, examples, and projects implemented with PyTorch

deep-learning deep-neural-networks examples machine-learning pytorch tutorials

Last synced: 05 Nov 2024

https://github.com/fangwei123456/parametric-leaky-integrate-and-fire-spiking-neuron

Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks

deep-learning deep-neural-networks snn spiking-neural-networks

Last synced: 15 Oct 2024

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: 01 Nov 2024

https://github.com/zlpure/CS231n

My Solution to Assignments of CS231n in Winter2016

anaconda deep-learning deep-neural-networks

Last synced: 07 Aug 2024

https://github.com/IliaZenkov/sklearn-audio-classification

An in-depth analysis of audio classification on the RAVDESS dataset. Feature engineering, hyperparameter optimization, model evaluation, and cross-validation with a variety of ML techniques and MLP

audio audio-data classification deep-learning-tutorial deep-neural-networks dnns emotion emotion-detection emotion-recognition feature-engineering machine-learning machine-learning-tutorials mlp-model model-evaluation ravdess-dataset scikit-learn sklearn

Last synced: 28 Oct 2024

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: 03 Aug 2024

https://github.com/manila95/BASS-Net

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

bass-net computer-vision deep-neural-networks hyperspectral-images landcover-classification

Last synced: 03 Aug 2024

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: 27 Oct 2024

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: 22 Oct 2024

https://github.com/vmarkovtsev/bidisentiment

Two-way deep RNN for sentiment classification.

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

Last synced: 15 Oct 2024

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: 22 Oct 2024

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: 22 Oct 2024

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: 31 Oct 2024