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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/dlmacedo/robust-deep-learning

A project to train your model from scratch or fine-tune a pretrained model using the losses provided in this library to improve out-of-distribution detection and uncertainty estimation performances. Calibrate your model to produce enhanced uncertainty estimations. Detect out-of-distribution data using the defined score type and threshold.

anomaly-detection classification deep-learning deep-neural-networks machine-learning novelty-detection ood-detection open-set open-set-recognition out-of-distribution out-of-distribution-detection pytorch robust-deep-learning robust-machine-learning trustworthy-ai trustworthy-machine-learning uncertainty-calibration uncertainty-estimation uncertainty-neural-networks

Last synced: 05 Nov 2024

https://github.com/pierremtb/uqpinns-tf2.0

TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks (UQPINNs).

deep-neural-networks mechanical-engineering partial-differential-equations physics-informed tf2

Last synced: 31 Oct 2024

https://github.com/adendek/DeepLaetitia

Deep Reinforcement Learning that makes you smile

computer-vision deep-neural-networks mathematica reinforcement-learning

Last synced: 04 Aug 2024

https://github.com/RafayKhattak/YoutubeGPT

YoutubeGPT is a web application powered by OpenAI's Whisper model for speech recognition and GPT-3 for text summarization. It extracts transcriptions from YouTube videos and provides users with concise summaries based on the video content.

deep-neural-networks ffmpeg gpt-3 pytube whisper-ai

Last synced: 05 Aug 2024

https://github.com/poke1024/bbz-segment

Code and data for the paper at http://arxiv.org/abs/2004.07317

deep-neural-networks historical-data image-segmentation

Last synced: 14 Oct 2024

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

Deep learning (also known as deep structured learning or hierarchical learning) is part of a broader family of machine learning methods based on artificial neural networks. Learning can be supervised, semi-supervised or unsupervised. Deep learning architectures such as deep neural networks, deep belief networks, recurrent neural networks and convolutional neural networks have been applied to fields including computer vision, speech recognition, natural language processing, audio recognition, social network filtering, machine translation, bioinformatics, drug design, medical image analysis, material inspection and board game programs, where they have produced results comparable to and in some cases superior to human experts.

anns artificial-neural-networks audio-recognition biological-brains board-game-programs deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deep-reinforcement-learning hierarchical-learning natural-language-processing neural-network neural-networks social-network-filtering speech-recognition

Last synced: 12 Oct 2024

https://github.com/ayushexel/libnet

Deep Neural Network algorithms library for c++ from scratch

artificial-intelligence c c-plus-plus deep-learning deep-neural-networks machine-learning neural-networks

Last synced: 23 Oct 2024

https://github.com/jmaces/keras-adf

Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural networks

deep-learning deep-neural-networks keras machine-learning probabilistic-models tensorflow

Last synced: 20 Oct 2024

https://github.com/tanmoyio/gradman

Baby deep learning library🐣

autograd deep-learning deep-neural-networks

Last synced: 23 Oct 2024

https://github.com/zafarali/sentiment.datalogue

Sentiment analysis challenge for Datalogue recruiting

deep-neural-networks machine-learning nlp sentiment-analysis

Last synced: 13 Oct 2024

https://github.com/aditya30394/person-re-identification

Person re-identification, a tool used in intelligent video surveillance, is the task of correctly identifying individuals across multiple images captured under varied scenarios from multiple cameras. Solving this problem is inherently a challenging one because of the issues posed to it by low resolution images, illumination changes per image, unconstrained pose and occlusions.

deep-learning deep-neural-networks machine-learning person-re-identification person-reidentification python pytorch pytorch-cnn pytorch-gan

Last synced: 17 Oct 2024

https://github.com/trykatchup/tesi-triennale

Progetto di strumenti basati su Deep Neural Network per la rilevazione di similarità tra password (Tesi Triennale, Ingegneria Informatica T - Alma Mater Studiorum, Università di Bologna)

artificial-intelligence deep-neural-networks nlp password password-similarity security-privacy-machine-learning

Last synced: 13 Oct 2024

https://github.com/justusschock/dl-utils

Utilities for Deep Learning with PyTorch (models, losses, metrics etc.)

cnn deep-learning deep-neural-networks loss-functions metrics models neural-network python pytorch

Last synced: 23 Oct 2024

https://github.com/khalidbourr/adeept-raspberryyolo-follower

Human Following algorithm implemented on the Adeept AWR 4WD WiFi Smart Robot Car Kit for Raspberry Pi 4 Model. Utilizes YOLOv5 for person detection, empowering the robot to track and follow a human. Accompanied with tailored installation guides for Torch, Torchvision and ROS Noetic on Raspberry Pi 32-bit OS and the robot setup.

deep-neural-networks distributed-architecture distributed-computing distributed-systems human-following-bot motion-planning object-detection perception python3 raspberry-pi-4 robotics

Last synced: 11 Oct 2024

https://github.com/lamm-mit/fieldcompleter

GAN/convolutional and Transformer models to predict missing mechanical information given limited known data in part of the domain, and further characterize the composite geometries from the recovered mechanical fields for 2D and 3D complex microstructures

analysis computer-vision convolutional-neural-networks deep-learning deep-neural-networks design engineering fracture materials materials-informatics non-destructive-testing science strain stress testing transformers

Last synced: 22 Oct 2024

https://github.com/dunnkers/neural-network-backdoors

Implementations and demo of a regular Backdoor and a Latent backdoor attack on Deep Neural Networks.

backdoor-attacks backdoors deep-learning deep-neural-networks mobilenet neural-networks onnx pytorch

Last synced: 14 Oct 2024

https://github.com/cainmagi/mdnt

Modern Deep Network Toolkits for Tensorflow-Keras. This is a extension for newest tensorflow 1.x.

adabound auto-encoder cnn deep-learning deep-neural-networks extension keras keras-tensorflow python python-library python3 python36 swats tensorflow tensorflow-keras toolbox toolkit

Last synced: 27 Oct 2024

https://github.com/nishant-sethi/deeplearning.ai

This is my assignment on Andrew Ng's special course "Deep Learning Specialization" This course consists of five courses: Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization Structuring Machine Learning Projects Convolutional Neural Networks Sequence Models

andrew-ng-course artificial-intelligence coursera deep-learning deep-learning-algorithms deep-learning-tutorial deep-neural-networks deeplearning-ai face-recognition jupyter-notebook machine-learning object-detection python tensorflow-experiments

Last synced: 10 Oct 2024

https://github.com/rwightman/pytorch-commands

Some PyTorch code for the Kaggle Speech Recognition Challenge

deep-neural-networks kaggle pytorch speech-recognition

Last synced: 23 Oct 2024

https://github.com/autrainer/autrainer

A Modular and Extensible Deep Learning Toolkit for Computer Audition Tasks.

autrainer computer-audition deep-learning deep-neural-networks pytorch

Last synced: 01 Nov 2024

https://github.com/naivehobo/smart-i

Smart-I is an android application aimed at helping the visually impaired using artificial intelligence and cloud computing.

andorid android android-app android-application caption captioning captioning-images captions cloud cloud-computing deep-learning deep-neural-networks image-recognition visualization

Last synced: 23 Oct 2024

https://github.com/meqdaddev/teachable-machine-lite

A Python package to simplify the deployment process of exported Teachable Machine models into different Robotics, AI and IoT controllers such as: Raspberry Pi, Jetson Nano and any other SBCs using TensorFlowLite framework.

deep-learning deep-neural-networks image-classification machine-learning opencv opencv-python pypi pypi-package python raspberry-pi teachable-machine tensorflow tensorflow2 tensorflowlite tensorflowlite-for-microcontrollers tflite

Last synced: 28 Oct 2024

https://github.com/saikat-roy/vision-systems-lab

MLPs, DCNNs, Deep Convolutional Autoencoders, LSTM, GRU, ResNets, DCGAN - CudaVision Lab at University of Bonn (SS19)

deep-learning deep-neural-networks jupyter-notebook python3 pytorch pytorch-implmention university-of-bonn

Last synced: 05 Nov 2024

https://github.com/beegass/cs-541-deep-learning

CS-541 Deep Learning is a graduate class that teaches both a theoretical and practical approach to deep learning. You will be able to see this in the different homework files in the form of workable code that can be tested as well as proofs and explanations as to where the code is coming from.

artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network recurrent-neural-networks

Last synced: 03 Oct 2024

https://github.com/hariharan-devarajan/vanidl

VaniDL is an tool for analyzing I/O patterns and behavior with Deep Learning Applications.

ai analysis data deep-learning deep-neural-networks machine-learning profile storage tensorflow2

Last synced: 28 Oct 2024

https://github.com/zyxue/stanford-cs224n

Exercise answers to the problem sets from CS224n: Natural Language Processing with Deep Learning Winter quarter (January - March, 2017)

cs224n deep-learning deep-neural-networks nlp stanford-machine-learning stanford-nlp tensorflow

Last synced: 23 Oct 2024

https://github.com/playboy-player/pytorch_dart

Pytorch_Dart is a dart wrapper for Libtorch,striving to provide an experience identical to PyTorch. You can use it as an alternative to Numpy in your Dart/Flutter projects.

android computer-vision cpp cross-platform dart dart-package dartlang deep-learning deep-neural-networks deeplearning flutter flutter-package libtorch linux machine-learning numpy pytorch tensor torch windows

Last synced: 12 Oct 2024

https://github.com/Bassem-Makni/NMT4RDFS

Neural Machine Translation for RDFS reasoning: code and datasets for "Deep learning for noise-tolerant RDFS reasoning" http://www.semantic-web-journal.net/content/deep-learning-noise-tolerant-rdfs-reasoning-4

deep-learning deep-neural-networks graph-words nmt nmt-model noise-tolerance rdf rdfs reasoning semantic-web sparql

Last synced: 02 Aug 2024

https://github.com/akhilthomas17/reinforced_visual_slam

Reinforcement for state of the art visual slam algorithms with Deep Learning based solutions. Part of my master thesis at University of Freiburg

deep-neural-networks python3 ros ros-kinetic ros-messages ros-services

Last synced: 04 Aug 2024

https://github.com/rajsoni03/neuralplot

Neural Plot is a python library for visualizing Neural Networks. It helps to plot Keras/Tensorflow model with matplotlib backend.

3d deep-neural-networks graph keras library matpolotlib neural-network neuralplot tensorflow visualization

Last synced: 11 Oct 2024

https://github.com/PrincySinghal/Document-classification-and-Data-extraction

Splitting and classifying documents from a pdf or image consisting of 5 classes of documents like Aadhar card,Pan etc followed by information retrieval from each document.

cnn deep-neural-networks ocr python sequential-models

Last synced: 06 Nov 2024

https://github.com/bobazooba/wgpt

This repository features an example of how to utilize the xllm library. Included is a solution for a common type of assessment given to LLM engineers, who typically earn between $120,000 to $140,000 annually

alpaca cerebras chatgpt deep-learning deep-neural-networks deeplearning falcon gpt language-model large-language-models llama2 llama2-7b llm mistral mistralai natural-language-processing nlp openai vicuna zephyr

Last synced: 27 Oct 2024

https://github.com/ritvik19/pyradox-tabular

State of the Art Neural Networks for Tabular Deep Learning

deep-learning deep-neural-networks tabular-data

Last synced: 13 Oct 2024

https://github.com/vanditg/person-retrieval-avss-2018

Implementation of our IEEE AVSS 2018 paper "Person Retrieval in Surveillance Video using Height, Color, and Gender".

alexnet-model color-classification deep-learning deep-neural-networks gender-recognition height-estimation keras maskr-cnn person-retrieval surveillance-video tensorflow

Last synced: 05 Nov 2024

https://github.com/mr7495/Pistachio-Counting

The Counter Algorithm for counting the open-mouth & closed-mouth pistachios from the paper https://doi.org/10.1007/s42044-021-00090-6

counting-objects deep-learning deep-neural-networks object-detection pistachio

Last synced: 05 Nov 2024

https://github.com/karolzak/images-vector-search

Simple implementation of search for visually similar images using deep learning and vector search. It's based on pretrained ImageNet weights so it doesnt require any additional training

cnn deep-learning deep-neural-networks embedding-models image image-processing images keras keras-tensorflow neural-networks resnet resnet-152 resnet-50 similarity-detection similarity-search transfer-learning vector-search vgg vgg19 visual-search

Last synced: 23 Oct 2024

https://github.com/meqdaddev/teachable-machine

A Python package designed to simplify the integration of exported models from Google's Teachable Machine platform into various environments.

classification-algorithm cnn-classification deep-learning deep-neural-networks image-classification image-processing keras machine-learning opencv opencv-python python

Last synced: 28 Oct 2024

https://github.com/darkmatter18/underwater-image-enhancement

A Deep Learning CycleGAN Based application, that can enhance the underwater images.

cyclegan deep-learning deep-neural-networks enhancement gan pytorch underwater-images

Last synced: 24 Oct 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/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/choyingw/gais-net

CVPR 2020 Workshop on Scalability in Autonomous Driving: GAIS-Net: Geometry-Aware Instance Segmentation with Disparity Maps

3d autonomous-vehicles computer-vision cvpr2020 deep-neural-networks geometry-processing instance-segmentation mask-rcnn multimodal-deep-learning scalability stereo-vision

Last synced: 06 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: 03 Aug 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: 24 Oct 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/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/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/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/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/xunzhuo/lstm-music

👉趣味小项目:通过LSTM 基于Keras做古典音乐🎵

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

Last synced: 13 Oct 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/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 “sees” 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 — 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: 20 Oct 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/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/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