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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/qile0317/bacteria-classifier-cnn

A resnet50 bacterial genus/strain classifier from the dibas dataset.

bacteria-classification cnn deep-learning deep-neural-networks fastai image-classification

Last synced: 19 Jan 2025

https://github.com/lim-calculus/deep-learning-based-semantic-segmentation-with-pytorch-and-onnx

Deep learning-based semantic segmentation model using the PyTorch and ONNX framework

ai deep-learning deep-neural-networks onnx onnxruntime pytorch semantic-segmentation

Last synced: 22 Jan 2025

https://github.com/hawmex/deep_learning_content

This repository contains my teaching material as a teaching assistant for the "Artificial Intelligence" course at AUT (Tehran Polytechnic).

convolutional-neural-networks deep-learning deep-neural-networks

Last synced: 29 Dec 2024

https://github.com/wielkadraka/lunar-landing-q-learing

AI playing Lunar Landing from python gymnasium library

deep-neural-networks deep-q-learning lunar-lander python3

Last synced: 11 Jan 2025

https://github.com/kartikchugh/neural-energy

Deep Neural Networks applied to representations of potential energy surfaces

deep-learning deep-neural-networks materials-science potential-energy-surfaces

Last synced: 15 Dec 2024

https://github.com/sathvik902/master-chef

A Deep Learning model which predicts the Indian Recipe from the ingredients we have in our home.

deep-neural-networks lstm

Last synced: 25 Jan 2025

https://github.com/rizerkrof/library-simpleneuralnetwork

This is a simple fully connected neural network library for deep learning. Include example.

deep-learning deep-neural-networks library

Last synced: 28 Jan 2025

https://github.com/anibalalpizar/python-deep-learning-temperature-converter

Celsius to Fahrenheit converter using Python and deep learning.

deep-learning deep-neural-networks python tensorflow

Last synced: 08 Jan 2025

https://github.com/blacksujit/deep-learning-specialization-repo

This repo contains the neural networks learning's with tensorflow with all the high level deep learning concepts i am learning with project implementation

deep deep-layers deep-learning deep-neural-networks embeddings-word2vec llvm network-embeddings neural-network transformers-layers transformers-models vision-language-model

Last synced: 15 Dec 2024

https://github.com/ssinad/evolution-strategies-tensorflow

Using evolution strategies as Non-differentiable loss function in a neural network

convolutional-neural-networks deep-learning deep-neural-networks

Last synced: 30 Jan 2025

https://github.com/anibalalpizar/python-deep-learning-houseprice-prediction

Meters to price predictions using Python and deep learning.

deep-learning deep-neural-networks python tensorflow

Last synced: 08 Jan 2025

https://github.com/saadarazzaq/custom-neural-networks

Perceptron, Multiclass and Deep Neural Network Implemented All in One Repo ✨

deep-neural-networks keras numpy perceptron python scikit-learn tensorflow

Last synced: 23 Jan 2025

https://github.com/angrybayblade/nnviz

📊 NNViz is interactive visualization tool for Tensorflow made neural networks.

artificial-intelligence artificial-neural-networks deep-neural-networks interpretable-machine-learning tensorflow visualization-tools

Last synced: 16 Dec 2024

https://github.com/arssite/dirty-cleanflooringimageprocessingusingyolov5

Uses YOLOv5 to classify floor cleanliness into five categories based on visual cues. It includes an annotated dataset, trained model,& evaluation outputs. Code covers data preprocessing, training, & testing. A comparative analysis highlights YOLOv5's advantages over traditional methods, providing an efficient solution automated floor cleanliness.

deep-neural-networks github google-colab jupyter-notebook labelimg matplotlib-pyplot numpy-library opencv-python pandas-python pytorch scikit-learn tensorflow yolov5

Last synced: 01 Feb 2025

https://github.com/lugq1990/neural-nets

Build deep learning models more efficient based on TensorFlow.

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

Last synced: 08 Jan 2025

https://github.com/mithoon278/deepfake-video-detection-resnext-and-lstm-

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features.

deep-learning deep-neural-networks deepfake-detection flask-application lstm python resnext-50

Last synced: 27 Jan 2025

https://github.com/ammahmoudi/fluxomic-prediction

Applying implicit deep learning and convex optimization layers to infer metabolic fluxes from gene expression data

bioinformatics deep-neural-networks fluxomics ml optimization transcriptomics

Last synced: 15 Jan 2025

https://github.com/ammahmoudi/covid-19-autoencoder

Using Autoencoder in keras as a nonlinear dimensionality reduction method to encode COVID-19 patients data

autoencoder covid-19 deep-learning deep-neural-networks dimension-reduction keras-tensorflow machine-learning ml

Last synced: 15 Jan 2025

https://github.com/apozzi/convnetjs-extras

Builds on the core functionalities of convnetjs by adding more features and utilities that enhance the capabilities of neural network development and experimentation.

activation-functions convnetjs deep-learning deep-neural-networks loss-functions

Last synced: 27 Jan 2025

https://github.com/dansolombrino/creactive

A set of experiments on Deep Neural Networks activation functions

activation-functions deep-learning deep-neural-networks nonlinear-optimization

Last synced: 14 Dec 2024

https://github.com/dansolombrino/biscuits

A set of experiments inspired by the paper "Training BatchNorm and Only BatchNorm: On the Expressive Power of Random Features in CNNs" by Jonathan Frankle, David J. Schwab, Ari S. Morcos

batchnorm cnn cnns convolutional-neural-networks deep-learning deep-neural-networks resnet resnets

Last synced: 14 Dec 2024

https://github.com/nightmachinery/mlp_from_scratch

A simple MLP using only numpy. The computational graph is not automatically tracked, but the network supports arbitrarily many batch axes.

deep-learning deep-neural-networks deeplearning educational mlp mlp-classifier mlp-networks numpy

Last synced: 31 Dec 2024

https://github.com/parth-shastri/neural_nets_tensorflow

Just a small set of projects from a student who loves to play with Deep-learning!

deep-learning deep-neural-networks learning neural-networks python3 tensorflow-examples tensorflow-tutorials tensorflow2

Last synced: 21 Dec 2024

https://github.com/chengetanaim/customer-churn-prediction

Customer churn is the loss of customers or subscribers for any reason at all. In this project I was predicting customer churn using artificial neural networks.

artificial-neural-networks deep-learning deep-neural-networks keras machine-learning pandas pandas-dataframe tensorflow2

Last synced: 23 Dec 2024

https://github.com/cooldragon12/solana-forecasting-using-lstm

A time series forecasting analysis using LSTM for the Solana Price

deep-neural-networks lstm lstm-model machine-learning

Last synced: 07 Jan 2025

https://github.com/papapana/sagemaker-sentiment-analysis

Sentiment Analysis with LSTMs deployed in Amazon Sagemaker

aws aws-lambda deep-learning deep-neural-networks lstm sagemaker sentiment-analysis

Last synced: 13 Jan 2025

https://github.com/abhaskumarsinha/1d-gan

A simple well-documented tutorial on implementing a 1D GAN on Keras using a Python Jupyter Notebook

deep-learning deep-neural-networks gan generative-adversarial-network keras keras-tensorflow python3 tensorflow2 tutorial

Last synced: 21 Jan 2025

https://github.com/tariqdaouda/abyme

Fractals for Deep and Sophisticated (Training) Loops

deep-learning deep-neural-networks deeplearning

Last synced: 01 Jan 2025

https://github.com/jofaval/mnist

Computer Vision with Neural Networks for handwritten digits recognition in 1998

classification computer-vision data-science deep-learning deep-neural-networks google-colab keras matplotlib pyspark python pytorch seaborn spark tensorflow

Last synced: 09 Dec 2024

https://github.com/celiabenquet/iaprproject

Image Analysis and Pattern Recognition

deep-neural-networks image-recognition

Last synced: 03 Jan 2025

https://github.com/wasay8/automatedgarbageimageclassifier

Implementation of CNN models(Resnet-34 and Resnet-50) to classify garbage images into 6 major categories for sustainable development and its disposability.

computer-vision deep-learning deep-neural-networks feature-engineering image-processing unstructured-data

Last synced: 01 Feb 2025

https://github.com/andredarcie/chatbot-tensorflow

Chatbot desenvolvido em Tensorflow para responder perguntas do Stackoverflow sobre Python

data-science deep-learning deep-neural-networks kaggle machine-learning python stackoverflow tensorflow text-mining

Last synced: 09 Jan 2025

https://github.com/enheragu/mnist-learning-playground

Just repository with code to play MNIST dataset and different learning models

deep-learning deep-neural-networks mnist mnist-classification python pytorch

Last synced: 29 Dec 2024

https://github.com/lbp2563/glasses-detection-from-human-face-images

This project uses TensorFlow and Keras to develop a deep learning model for detecting glasses on human faces in images. It employs convolutional neural networks (CNNs) to classify images into "with glasses" and "without glasses" categories, offering a versatile tool for applications like facial recognition and virtual try-on experiences.

deep-neural-networks glass-detection keras keras-neural-network neural-network

Last synced: 21 Jan 2025

https://github.com/aiaaee/california_housing

It's about California House value. the goal is find a great method to assemble reasonable train test based on MLP regression by using torch

data-science datasets deep-learning deep-neural-networks machine-learning machine-learning-algorithms python

Last synced: 23 Dec 2024

https://github.com/camara94/face_recognition

In this project, will learn the concept to implement face recognition problem.

deep-learning deep-neural-networks face-detection face-recognition machine-learning tensorflow2

Last synced: 23 Dec 2024

https://github.com/crispengari/ml-utils

💎 This repository contains some helper functions that helps you speed your machine learning code everyday. It also contains some useful basic knowledge about machine learning, it's behavior, how it started etc. It's a bag of machine learning things basically.

deep-learning deep-neural-networks machine-learning utils

Last synced: 16 Dec 2024

https://github.com/crispengari/nmt

🎗 Neural Machine Translation (nmt) repository contains an end-to-end deep artificial neural network for machine translation and language identification based on south-african-languages.

api artificial-intelligence artificial-neural-networks datascience deep-learning deep-neural-networks flask graphql javascript json jupyter-notebook machine-learning natural-language-processing nlp nmt nueral-machine-translation python rest-api tweepy

Last synced: 16 Dec 2024

https://github.com/namratagulati/textingwithcnn

This project focuses on the training and evaluation of a TextCNN model for text classification. The model architecture includes an embedding layer, convolutional layers with max-pooling, dropout for regularization, and a softmax layer for classification

convolutional-neural-network convolutional-neural-networks deep-learning deep-neural-networks deeplearning

Last synced: 08 Jan 2025

https://github.com/gosuto-inzasheru/aml-densenet-varying-learning-rates

Re-training the deep neural network DenseNet using various learning rate strategies. Entry for the Food Recognition Challenge for the Master's course Applied Machine Learning.

cyclical-learning-rate deep-neural-networks densenet image-classification learning-rate-benchmarking learning-rate-decay

Last synced: 14 Jan 2025

https://github.com/kalifou/tme_10_11_rdfia

Neural Networks Visualization : Activation Maps, Adversarial examples...

adversarial-example class-visualization deep-neural-networks pytorch

Last synced: 13 Jan 2025

https://github.com/shamiul5201/healthcare_ai

Brain Tumor Detection and Localization Using Resnet and ResUnet in Healthcare

deep-neural-networks image-segmentation python-3 u-net

Last synced: 02 Feb 2025

https://github.com/ddubeyyy/caption_generator

An AI-powered image caption generator using deep learning techniques to automatically generate descriptive captions for images. Utilizes CNNs for feature extraction and RNNs for sequence prediction.

cnn deep-neural-networks keras-tensorflow nlp-machine-learning rnn-tensorflow tensorflow vgg16

Last synced: 01 Feb 2025

https://github.com/jotstolu/training-machine-learning-models-for-weed-classification

This project involves training different machine learning-based classifiers using image processing techniques to accurately classify two weed classes: charlock and cleavers.This Image classification task focuses on Four Main things: 1)Image Preparation and Pre-processing 2)Feature Extraction 3)Model Training 4)Model Evaluation and Analysis

deep-learning deep-neural-networks image-classification image-processing machine-learning

Last synced: 26 Jan 2025

https://github.com/vutrong826/yolov8-brain-tumor-segmentation

Brain tumor segmentation using YOLO architecture for fast and accurate detection.

cnn deep-learning deep-neural-networks python python3 segmentation tumor-segmentation yolov8 you-only-look-once

Last synced: 17 Dec 2024

https://github.com/asim-2000/kaggling

This repository contains source code of the kaggle competitions in which I participated

deep-learning deep-neural-networks kaggle-competition machine-learning reinforcement-learning

Last synced: 10 Jan 2025

Deep neural networks Awesome Lists
awesome-deep-learning-papers 238 Machine-Learning-Tutorials 484 awesome-deep-learning-music 248 Awesome-Learning-with-Label-Noise 276 awesome-deep-trading 94 awesome-colab-notebooks 554 awesome-transformers-in-medical-imaging 202 awesome-emdl 147 Awesome-Speech-Enhancement 105 awesome-multi-task-learning 229 Awesome-3D-Object-Detection 169 awesome-full-stack-machine-learning-courses 106 Awesome-Distributed-Deep-Learning 44 Awesome-Information-Bottleneck 201 awesome-gans-and-deepfakes 61 awesome-video-object-detection 41 awesome-deep-neuroevolution 200 awesome-deep-reinforcement-learning 257 awesome-deepneuroimage 73 awesome-ai-cancer 193 Best-Audio-Classification-Resources-with-Deep-learning 259 awesome-tensorial-neural-networks 99 awesome-graph-research-iclr2024 34 awesome-speech-emotion-recognition 119 awesome-ai-brain-computer-interface 111 LiDAR-Guide 176 awesome-deepnote 41 CoreML-Guide 333 awesome-ai-cybersecurity 153 Awesome-Computational-Structural-Biology 40 awesome-experimental-standards-deep-learning 34 PyTorch-Guide 616 Awesome-Cloud-Edge-AI 58 Deep-Learning 38 awesome-approximate-dnn 78 awesome-deep-learning-materials 69 awesome-data-science 93 TensorFlow-Guide 819 awesome-optimizers 46 awesome-ai 107
Deep neural networks Categories
Papers 945 Uncategorized 552 Classification COVID19 (Separate section due to its current significance) 498 Papers & Code 422 Introduction 367 DL4M summary 358 Overview 316 Tutorials 240 Neural Networks (NN) and Deep Neural Networks (DNN) 203 Other useful related lists and resources 201 Research 197 Architecture 129 Deep Learning 113 C/C++ Learning Resources 102 Further Reading 100 Paper: 97 Tools for Robotics 94 Natural Language Processing 89 Reinforcement Learning Learning Resources 86 5. Applications (General) 80