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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/jiweiqi/nnsubspace

Uncertainty Propagation in Deep Neural Network Using Active Subspace

active-subspace adversarial-example deep-neural-networks uncertainty-quantification

Last synced: 21 Nov 2024

https://github.com/mafda/deep_learning_101

Introduction to the basic notions that involve the concept of Machine Learning and Deep Learning. Linear Regression, Logistic Regression, Artificial Neural Networks, Deep Neural Networks, Convolutional Neural Networks.

artificial-neural-networks cnn-keras conda-environment convolutional-neural-networks deep-learning deep-neural-networks keras linear-regression logistic-regression machine-learning mnist neural-network python tensorflow

Last synced: 16 Nov 2024

https://github.com/junjuew/tf_object_detection

A Thin Wrapper around Tensorflow Object Detection API for Easy Installation and Use

computer-vision deep-learning deep-neural-networks dependency object-detection object-recognition pypi tensorflow tensorflow-models

Last synced: 10 Oct 2024

https://github.com/acly/dlimgedit

A C++ library for image painting and editing workflows which make use of deep learning.

cpp deep-neural-networks image-editing image-segmentation native onnx

Last synced: 12 Nov 2024

https://github.com/alexander-soare/torchvision_feature_extraction_walkthrough

Walkthrough code for YouTube video https://www.youtube.com/watch?v=QRQBTkCLpFY

computer-vision deep-neural-networks pytorch torchvision

Last synced: 06 Nov 2024

https://github.com/dn070017/variational-autoencoders

Beta-VAE, Conditional-VAE, Total Correlation-VAE, FactorVAE, Relevance Factor-VAE, Multi-Level VAE, (Soft)-IntroVAE (Beta-Version), LVAE, VLAE, VaDE and MFCVAE implemented in Tensorflow 2

deep-neural-networks tensorflow2 variational-autoencoder

Last synced: 14 Nov 2024

https://github.com/0101011/bootstrap-ml

A comprehensive collection of pre-written code for machine learning and deep learning use cases, all in one convenient place. Whether you're a seasoned practitioner or just starting your ML journey, this repository provides a solid foundation to build upon.

deep-learning deep-neural-networks documentation machine-learning tensorflow tensorflow-examples tensorflow-tutorials

Last synced: 09 Nov 2024

https://github.com/uber-research/fsdm

Code tor the SIGDIAL 2019 paper Flexibly-Structured Model for Task-Oriented Dialogues. It implements a deep learning end-to-end differentiable dialogue system model

deep-learning deep-neural-networks dialogue-agents dialogue-systems natural-language-generation natural-language-processing natural-language-understanding

Last synced: 25 Nov 2024

https://github.com/ahammadmejbah/artificial-intelligence-research-and-development-projects

The field of Artificial Intelligence (AI) is a frontier of computer science that focuses on creating systems capable of performing tasks that would typically require human intelligence. This encompasses a wide range of capabilities such as visual perception, speech recognition, decision-making, and language translation.

data-engineering data-science data-visualization database datascience deep-learning deep-learning-algorithms deep-neural-networks deep-reinforcement-learning machine-learning machine-learning-algorithms machine-vision machinelearning

Last synced: 11 Nov 2024

https://github.com/lukaszbinden/spatial-broadcast-decoder

Spatial Broadcast Decoder Tensorflow Implementation

deep-neural-networks representation-learning tensorflow

Last synced: 25 Oct 2024

https://github.com/aditya30394/reverse-image-captioning

Text to Image Generation (Reverse image captioning): This task is just the reverse of image captioning task. Here, we are trying to generate the images that best fits the textual description.

cnn deep-learning deep-neural-networks gan generative-adversarial-network image-generation python pytorch

Last synced: 17 Oct 2024

https://github.com/rwightman/tensorflow-speech_commands

Speech commands training/models from TF repo adapted for speech commands Kaggle

deep-neural-networks kaggle speech-recognition tensorflow

Last synced: 05 Dec 2024

https://github.com/cure-lab/hybridrepair

This is an implementation of our paper "HybridRepair: Towards Annotation-Efficient Repair for Deep Learning Models", which will be presented in ISSTA'22.

deep-neural-networks semi-supervised-learning testing

Last synced: 14 Nov 2024

https://github.com/xunzhuo/lstm-music

๐Ÿ‘‰่ถฃๅ‘ณๅฐ้กน็›ฎ๏ผš้€š่ฟ‡LSTM ๅŸบไบŽKerasๅšๅคๅ…ธ้Ÿณไน๐ŸŽต

deep-learning deep-neural-networks keras lstm lstm-neural-networks

Last synced: 13 Oct 2024

https://github.com/samarjit98/cat-breeds

Cat breed classification using RowCNN and deriving inter-breed relationships

clustering computer-vision convolutional-neural-networks deep-learning deep-neural-networks dendrogram python3 pytorch

Last synced: 30 Nov 2024

https://github.com/shubham3121/laymon

A Python based library used to visualise features maps of a neural network.

deep-neural-networks feature-extraction python pytorch

Last synced: 24 Oct 2024

https://github.com/jash271/detect_mask

Python Package to detect mask in input photo or pull out the cam for real time mask detection ,download the module from here :- https://pypi.org/project/detect-mask/

deep-learning deep-neural-networks fastai pip-package pkl pypi-package python-package python3 transfer-learning windows

Last synced: 24 Nov 2024

https://github.com/praveen1664/deeplearning-architectures

This is one of the deep learning architecture, machine learning, CNN, RNN based on tensorflow, pytorch, tensorboard

celeba convolutional-neural-network deep deep-neural-networks ipynb pytorch tensorflow

Last synced: 11 Oct 2024

https://github.com/touhi99/dl_dialogue_act_classification

DL Lab Project - Given a subset of switchboard corpus, goal is to classify dialogue acts from Speech and Text data. We define a RNN-LSTM model for Text classification and CNN model for speech classification and then ensemble both model to output a stable and higher performance model

classification cnn deep-learning deep-neural-networks dialogue dialogue-act embedding-models keras rnn

Last synced: 17 Nov 2024

https://github.com/vmirly/the-art-of-deep-learning

Deep learning resources: articles, tutorials, ...

deep-learning deep-neural-networks machine-learning

Last synced: 15 Nov 2024

https://github.com/bokutotu/zenu

Deep Learning Framework Written in Rust

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

Last synced: 15 Dec 2024

https://github.com/vpanjeta/style-transfer

A deep learning model using keras to transfer the style of a texture or a famous painter to a base image

cnn-keras deep-learning deep-neural-networks deeplearning jupyter-notebook style-transfer

Last synced: 07 Nov 2024

https://github.com/mr7495/Pesteh-Set

Pesteh-Set, the pistachios dataset from the paper https://doi.org/10.1007/s42044-021-00090-6

closed-mouth-pistachios computer-vision deep-learning deep-neural-networks open-mouth-pistachios pistachio

Last synced: 05 Nov 2024

https://github.com/ac-alpha/vaes-using-pytorch

Variational Autoencoders trained on MNIST Dataset using PyTorch

deep-learning deep-neural-networks pytorch pytorch-cnn pytorch-implmention vae

Last synced: 19 Nov 2024

https://github.com/bradflaugher/ai-harmony-book

The source text and LaTeX formatting for AI Harmony by Brad Flaugher

deep-neural-networks latex latex-document machine-learning

Last synced: 11 Oct 2024

https://github.com/devkihyun/neural-style-transfer-tensorflow-keras

Tensorflow(using keras pretrained model) implementation of 'Image Style Transfer Using Convolutional Neural Networks'

deep-neural-networks keras python style-transfer tensorflow

Last synced: 31 Dec 2024

https://github.com/soskek/weight_normalization

Weight Normalization (Salimans and Kingma, 2016) by Chainer

chainer deep-learning deep-neural-networks machine-learning nips-2016 openai

Last synced: 16 Nov 2024

https://github.com/maksof-jawad/awesome-ai

Learn Awesome list for all things AI, ML and deep learning can do

ai aritificial-intelligence course deep-neural-networks learning machine-learning tutorials

Last synced: 05 Dec 2024

https://github.com/matteofasulo/weaviate-search-engine

Vector database (Weaviate) to build an image search engine powered by a deep neural network

deep-neural-networks docker docker-compose python streamlit weaviate

Last synced: 19 Nov 2024

https://github.com/jay-johnson/antinex-client

AntiNex python client for training and using pre-trained deep neural networks with JWT authentication

ai ai-security anti-nex artificial-intelligence deep-neural-networks jwt keras python rest-client tensorflow

Last synced: 10 Oct 2024

https://github.com/lucasb-eyer/backprop.jl

Textbook implementation of backprop (from the Jacobian point of view) in Julia.

backpropagation backpropagation-learning-algorithm deep-learning deep-neural-networks exercise-solutions julia julia-language

Last synced: 23 Dec 2024

https://github.com/anonym0uswork1221/jaraconverse-transformersbased

This JaraConverse model is a cutting-edge Transformer-based supervised Language Model (LLM) specifically designed for generating Python code snippets.

ai code-generator conversational-ai deep-neural-networks keras keras-nlp large-language-model llm machine-learning optimized python scratch tensoflow transformers transformers-models

Last synced: 10 Oct 2024

https://github.com/bcgsc/terminitor

Deep Neural Network model that predicts polyadenylation sites

deep-neural-networks deeplearning polyadenylation

Last synced: 09 Nov 2024

https://github.com/liuruoze/betastar

(SSCAIT'2019) BetaStar is a StarCraft AI, written by a team at Nanjing University. It is written for StarCraft I. SSCAIT=Student StarCraft AI Tournament.

competition-code cplusplus deep-neural-networks machine-learning python scripted-agent starcraft starcraft-bot starcraft-broodwar supervised-learning

Last synced: 07 Nov 2024

https://github.com/starxsky/tacotron2-jp

Base on "tacotron2-jpanese" builded & change

deep-neural-networks gpu metal-performance-shaders pytorch tacotron tts

Last synced: 12 Nov 2024

https://github.com/camara94/convolutional-neural-networks-tensorflow

In Course 2 of the deeplearning.ai TensorFlow Specialization, you will learn advanced techniques to improve the computer vision model you built in Course 1. You will explore how to work with real-world images in different shapes and sizes, visualize the journey of an image through convolutions to understand how a computer โ€œseesโ€ information, plot loss and accuracy, and explore strategies to prevent overfitting, including augmentation and dropout. Finally, Course 2 will introduce you to transfer learning and how learned features can be extracted from models.

computer-vision convolutional-neural-networks data-science deep-learning deep-neural-networks tensorflow

Last synced: 05 Nov 2024

https://github.com/jdleesmiller/carnd-cloning

Train a driverless car to drive around a simulated race track using end-to-end deep learning โ€” from camera images to steering commands. This is the code for my 'Zero to Driverless Race Car with Deep Learning' blog post and talk.

car convolutional-neural-networks deep-learning deep-neural-networks driverless inception ipython-notebook

Last synced: 06 Dec 2024

https://github.com/ahammadmejbah/becoming-a-python-developer

Becoming a Python developer involves mastering the Python programming language, understanding its syntax, and learning popular frameworks. Gain proficiency in web development, data analysis, or automation. Collaborate on projects, build a strong portfolio, and stay updated on industry trends to excel in this dynamic and versatile field.

algorithms algorithms-and-data-structures data-science deep deep-learning deep-neural-networks machine-learning machine-learning-algorithms machinelearning python python3

Last synced: 11 Nov 2024

https://github.com/jaypmorgan/neuralverifier.jl

Formal Verification of Deep Neural Networks in Julia

deep-learning deep-neural-networks fluxml machine-learning verification

Last synced: 21 Nov 2024

https://github.com/shreyasbapat/fabric-detection

Detecting Fabric by Deep Learning Approach : Includes Classification and Matching the fabric. This enables a user to perform a search based on the fabric on top e-shopping websites like Amazon and Flipkart if integrated

autoencoder cnn-keras deep-learning deep-neural-networks fabric fabric-detection siamese-network tsne

Last synced: 10 Dec 2024

https://github.com/dansuh17/pytorch-land

[BETA] Easy-to-use pytorch model trainer, dataloader creators, and utilities + my own implementations of select models

cyclegan deep-learning deep-neural-networks gan generative-adversarial-network generative-model python3 pytorch wgan wgan-gp

Last synced: 14 Oct 2024

https://github.com/samarjit98/Cat-Breeds

Cat breed classification using RowCNN and deriving inter-breed relationships

clustering computer-vision convolutional-neural-networks deep-learning deep-neural-networks dendrogram python3 pytorch

Last synced: 25 Nov 2024

https://github.com/aianytime/fishvision

FishVision built using Streamlit identifies the different species of Fishes in a given image. It is trained on "A Large Scale Fish Data" available on Kaggle using the pre-trained model "MobileNetV2".

data-science deep-learning deep-neural-networks heroku heroku-deployment machine-learning machine-learning-algorithms mobilenetv2 python python3 streamlit streamlit-webapp

Last synced: 28 Dec 2024

https://github.com/sovit-123/video-recognition-using-deep-learning

This project uses deep learning and the PyTorch framework to detect sports action categories in videos in real-time. The neural network is a simple custom neural network built with PyTorch.

action-recognition computer-vision computer-vision-opencv convolutional-neural-networks deep-learning deep-neural-networks deeplearning-video-recognition neural-network pytorch

Last synced: 08 Dec 2024

https://github.com/victorowinoke/cnn-image-classification-using-fashion-mnist-dataset

There's been much speculation in recent years about neural networks technologies and other deep learning algorithms, primarily because of the popularity of several implementations in the sector utilizing these techniques. Consequently, this hype has yielded several innovative ideas to build open-source libraries and methods to enable the average income tech-savvies to achieve their objective. This research paper aims to examine and illustrate how to use deep learning technologies and algorithms to precisely classify a dataset of fashion images into their respective clothing categories. First, the paper shows the general knowledge of convolutional neural networks (CNN) and the techniques of image classification. Later on, it also discusses the methodology of building a neural network and the simulation process. The results of the neural network simulation are compressively evaluated and discussed.

cnn-classification cnn-keras code deep-neural-networks fashion-classifier fashion-mnist-dataset image-classification python3 report tensorflow tensorflow-models

Last synced: 03 Nov 2024

https://github.com/kingabzpro/magnet-model-the-geomagnetic-field

In this challenge, your task is to develop models for forecasting Dst that push the boundary of predictive performance, under operationally viable constraints, using the real-time solar-wind (RTSW) data feeds from NOAAโ€™s DSCOVR and NASAโ€™s ACE satellites. Improved models can provide more advanced warning of geomagnetic storms and reduce errors in magnetic navigation systems.

deep-neural-networks forecasting-dst geomagnetic geomagnetic-storms nasa noaa satellites time-series

Last synced: 17 Nov 2024

https://github.com/yannick-kees/learning-geometric-phase-field-representations

Implementation of two phase field approaches for the surface reconstruction problem. One based of the Modica-Mortola theorem and the other based on Ambrosio-Tortorelli | Master Thesis

deep-learning deep-neural-networks fourier-features modica-mortola perimeter point-cloud rendering-3d-graphics surface-reconstruction

Last synced: 23 Nov 2024

https://github.com/roscibely/gender-classification

Predicting Gender Using Character-level Machine Learning ๐Ÿ™‹ ๐Ÿ™‹โ€โ™‚๏ธ

cnn deep-learning deep-neural-networks deeplearning gender-classification gender-detection gender-prediction predicting-gender pytorch

Last synced: 21 Nov 2024

https://github.com/sajed-zarrinpour/solving-pde-with-uncertainty-surrogate-forward-model-keras

Implementing a surrogate forward modeling to solve partial differential equations with uncertain equations using NN - keras

deep-neural-networks neural-networks numerical-analysis numerical-methods partial-differential-equations

Last synced: 14 Dec 2024

https://github.com/skalskip/yolov5js-zoo

Repository of pre-trained YOLOv5 models in tensorflow.js format

ai deep-learning deep-neural-networks javascript machine-learning tensorflowjs typescript yolo yolov5

Last synced: 27 Oct 2024

https://github.com/saikiran6694/product_classification

This is my Final Year Major Project. The idea behind this project is to develop a deep learning model for sentimental analysis of the users emotion toward the product and provide insight to design which further helps in improvement of the product.

deep-learning deep-neural-networks jupyter-notebook python

Last synced: 10 Dec 2024

https://github.com/ondrejbiza/aamas_19

Source code for the paper "Online Abstraction with MDP Homomorphisms for Deep Learning".

aamas abstraction deep-learning deep-neural-networks reinforcement-learning reinforcement-learning-algorithms

Last synced: 10 Nov 2024