Projects in Awesome Lists tagged with deep-neural-networks

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

PyTorch implementation of Assumed Density Filtering (ADF) based probabilistic neural networks

deep-learning deep-neural-networks machine-learning probabilistic-models pytorch torch

Last synced: 01 Oct 2024

https://github.com/tallamjr/dnn

Implementations of Deep Neural Networks in Tensorflow 2.x

deep-learning deep-neural-networks keras tensorflow tensorflow-examples tensorflow2

Last synced: 26 Sep 2024

https://github.com/vtuanpham/srgan_reimplementation_modified

Re-Implementation of SRGAN with symmetric padding for a better merged final image (Anysized input with 4x upscaled)

deep-learning deep-neural-networks fft gan generative-adversarial-network image image-processing kivy kivy-application kivy-framework machine-learning srgan srgan-keras super-resolution upscaling

Last synced: 25 Sep 2024

https://github.com/abidshafee/datascienceyoutubetutorials

This repository holding some python notebooks which I made to cast some of my practical data science projects on YouTube

cs cs-school data-science deep-learning deep-neural-networks machine-learning shafekul-abid video-tutorials youtube youtube-channel

Last synced: 28 Sep 2024

https://github.com/frankchen121212/RHSNet

Tensorflow and Keras implementation of RHSNet for recombination hotspot identification and quantification

computational-biology deep-neural-networks motif-discovery

Last synced: 08 Aug 2024

https://github.com/EliasVansteenkiste/plnt

A Python framework for classification of satellite imagery of the Amazon, built with Pytorch and Lasagne/Theano. The goal is to find deforestation activity.

classification deep-neural-networks kaggle lasagne python pytorch satellite-imagery

Last synced: 01 Aug 2024

https://github.com/hhhhhhao/papers

Reproduction of the interesting deep learning papers

convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network machine-learning

Last synced: 01 Oct 2024

https://github.com/ahmedshahriar/sentiment-analysis

Sentiment Analysis Projects

adam-optimizer data-science-projects deep-learning deep-neural-networks dense densely-connected-networks jupyter-notebook long-short-term-memory lstm-model lstm-sentiment-analysis machine-learning matplotlib numpy pandas scikit-learn sentiment-analysis tensorflow tensorflow-hub tensorflow-models tensorflow-text

Last synced: 26 Sep 2024

https://github.com/luca-parisi/hyper_sinh

hyper-sinh: An Accurate and Reliable Activation Function from Shallow to Deep Learning in TensorFlow, Keras, and PyTorch

activation-functions cnn cnn-classification cnn-keras cnn-model deep-learning deep-neural-networks keras keras-neural-networks keras-tensorflow machine-learning machinelearning-python pytorch sinh tensorflow tensorflow-models torch

Last synced: 26 Sep 2024

https://github.com/serhatderya/deep_learning

This repository contains my notes from Deep Learning With Tensorflow 2.0 from codebasics YouTube channel

ai artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks deeplearning jupyter jupyter-notebook keras keras-neural-networks keras-tensorflow keras-tutorials neural-network neural-networks pyhon3 python tensorflow tensorflow-models tensorflow-tutorials tensorflow2

Last synced: 28 Sep 2024

https://github.com/a-mhamdi/journey-into-ml

Showcase some machine learning algorithms.

deep-neural-networks julialang keras machine-learning-algorithms python rlang tensorflow

Last synced: 29 Sep 2024

https://github.com/MartinKondor/positron

Blazingly fast deep learning library for Python.

ai algorithms artificial-intelligence deep-learning deep-neural-networks machinelearning math mathematics neural-network neural-networks

Last synced: 01 Aug 2024

https://github.com/arasgungore/models

Models and examples built with TensorFlow.

convolutional-neural-network convolutional-neural-networks deep-learning deep-neural-networks deeplearning machine-learning machinelearning model models research sota sota-model state-of-the-art state-of-the-art-models tensorboard tensorflow tensorflow-api tensorflow-examples tensorflow-models tensorflow2

Last synced: 26 Sep 2024

https://github.com/arif-miad/activation-function

artificial-intelligence convolutional-neural-networks data-science deep-neural-networks keras

Last synced: 29 Sep 2024

https://github.com/angelognazzo/Reliable-Trustworthy-AI

Repository for the Reliable and Trustworthy AI course offered in Fall 2022 at ETH Zürich: implementation of DeepPoly, Robustness Analyzer for Deep Neural Networks

computer-vision deep-learning deep-neural-networks reliable-ai robust-machine-learning

Last synced: 03 Aug 2024

https://github.com/kawai-senpai/heartly

Heartly is a Python application developed with Kivy, designed to evaluate the risk of heart disease based on user inputs. The application utilizes a neural network model to predict the likelihood of heart disease, providing a percentage risk based on a series of questions related to the user's health and lifestyle.

deep-learning deep-neural-networks heart-disease kivy kivy-framework kivymd pytorch

Last synced: 01 Oct 2024

https://github.com/aezata/fashion_mnist-keras-model

A simple Fashion_mnist Keras model that I coded.

deep-learning deep-neural-networks fashion-mnist keras keras-models keras-neural-networks

Last synced: 26 Sep 2024

https://github.com/kinginthenorth001/rice_leaf_disase_detection

A CNN Model that can predict these 4 (['Bacterialblight', 'Blast', 'Brownspot', 'Tungro']) Rice leaf diseases.

cnn-classification deep-learning deep-neural-networks image-processing keras-neural-networks tensorflow

Last synced: 29 Sep 2024

https://github.com/easonlai/tensorflow_covid-19_classification_by_chest_x-ray

Tensorflow COVID-19 Classification by Chest X-Ray

cnn cnn-classification cnn-model convolutional-neural-networks deep-learning deep-neural-networks deeplearning densenet healthcare keras keras-tensorflow machine-learning machinelearning medical medical-image-processing medical-imaging tensorflow tensorflow-examples tensorflow-tutorials tensorflow2

Last synced: 26 Sep 2024

https://github.com/avik-pal/nnpack.jl

Julia wrapper for NNPACK

convolutional-neural-networks deep-learning deep-neural-networks machine-learning multicore-cpu nnpack wrapper

Last synced: 03 Oct 2024

https://github.com/idwessough/autonomous-driving

Autonomous Driving behaviour for a 4 wheel drive robot vehicle using AI and ROS to drive autonomously in a scaled city

artificial-intelligence computer-vision deep-neural-networks object-recognition robot-framework robotics ros2

Last synced: 29 Sep 2024

https://github.com/coditheck/tensorflow

TensorFlow is an open source Machine Learning library, created by Google, for developing and running Machine Learning and Deep Learning applications.

deep-learning deep-neural-networks keras machine-learning neural-network python tensorflow tensorflow-tutorials

Last synced: 26 Sep 2024

https://github.com/ondrejbiza/tfset

Interactive Tensorflow training.

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

Last synced: 26 Sep 2024

https://github.com/tiskw/gaussian-process-bootstrapping-layer

PyTorch implementation of the Gaussian process bootstrapping layer

artificial-intelligence deep-neural-networks gaussian-processes machine-learning python pytorch

Last synced: 01 Aug 2024

https://github.com/akash-nath29/image-classifier

A Machine Learning Model capable to detect person's mood (happy or sad) from image

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

Last synced: 26 Sep 2024

https://github.com/harmanveer-2546/music-genre-classification

Classifying the genre of a music using deep neural networks.

cnn deep-neural-networks keras labelencoder librosa matplotlib music numpy pandas pickle python scipy seaborn sequential-models tensorflow

Last synced: 01 Oct 2024

https://github.com/piero24/vanillanet-cpp

A fully connected Neural Network in C++ with SGD from scratch, achieving 98% accuracy on the MNIST dataset.

backpropagation cmake cpp deep-learning deep-neural-networks loss-functions neural-network neural-networks-from-scratch opencv softmax

Last synced: 26 Sep 2024

https://github.com/redtius/talkpole

🤖🔍 An AI Model that determines sentence sentiment polarity.

cnn-model convolutional-neural-networks deep-learning deep-neural-networks flask keras long-short-term-memory-models nlp python sentiment-analysis sentiment-classification sentiment-polarity tensorflow

Last synced: 26 Sep 2024

https://github.com/yash-rewalia/emotion_detection_cnn_deep_learning

This project focuses on emotion detection using Convolutional Neural Networks (CNN), implementing and comparing four models: a custom CNN, a custom CNN with data augmentation, VGG16, and ResNet50v2 for accurate emotion recognition from images.

deep-learning deep-neural-networks emotion-detection keras machine-learning python tensorflow

Last synced: 26 Sep 2024

https://github.com/aditya30394/dogs-vs-cats

Using convolution networks to classify Dogs and Cats

convolutional-neural-networks deep-neural-networks image-classification python-3 transfer-learning

Last synced: 01 Oct 2024

https://github.com/travelxml/tensorflow-and-keras-sentiment-analysis-using-rnn

NLP: Sentiment Analysis using TensorFlow and Keras: This project implements a Recurrent Neural Network (RNN) to classify Amazon product reviews into different sentiment categories. It leverages text preprocessing, tokenization, and model training to predict the sentiment with high accuracy.

deep-learning deep-neural-networks deeplearning keras keras-tensorflow nlp rnn rnn-tensorflow sentiment-analysis tenserflow

Last synced: 26 Sep 2024

https://github.com/grascya/forecasting-electricity-by-hour-rnn-vs-lstm

Explore the Production and Consumption of Electricity produced by different types of energy sources and build an RNN and LSTM to forecast them

deep-neural-networks electricity keras lstm-neural-networks rnn-model tensorflow2

Last synced: 26 Sep 2024

https://github.com/ltfschoen/aind2-cnn

classification convolutional-neural-networks deep-neural-networks global-average-pooling image-augmentation image-recognition keras loss-functions mlp model-architecture multi-layer-architecture multi-layer-perceptron one-hot-encode optimiser tensorflow testing training validation

Last synced: 01 Oct 2024

https://github.com/mahendran-narayanan/double-vit

[ICPR 2024] DoubleViT Pushing transformers towards the end because of convolutions

deep-learning deep-neural-networks icpr2024 pytorch tensorflow

Last synced: 26 Sep 2024

https://github.com/protyayofficial/imagecolorization

This project utilizes GANs for converting grayscale images to color, leveraging deep learning models to enhance colorization accuracy. It features customizable training pipelines, evaluation metrics, and supports further improvements with new models and techniques.

convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-network image-colorization image-generation pytorch

Last synced: 26 Sep 2024

https://github.com/jofaval/california-housing-pricing

Data Analysis about the California Housing Pricing in 1997

data-analysis data-science data-visualization deep deep-learning deep-neural-networks google-colab keras machine-learning matplotlib python regression scikit-learn seaborn tensorflow

Last synced: 03 Oct 2024

https://github.com/jofaval/supertsore-timeseries

Timeseries Data Analysis and Forecast of the sales from a superstore in 2015-2018

data-analysis data-science deep-learning deep-neural-networks forecasting google-colab lstm openml python tensroflow time-series time-series-analysis time-series-forecasting

Last synced: 03 Oct 2024

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: 03 Oct 2024

https://github.com/ardawanism/a-tour-of-pytorch

In this repo, an introductory tutorial on PyTorch is provided. You can learn about the basics of PyTorch alongside defining and training deep neural networks consisting of different layer types such as fully-connected, convolutional, and etc.

convolutional-neural-networks deep-learning deep-neural-networks deeplearning multilayer-perceptron neural-network neural-networks pytorch pytorch-tutorial