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/autuanliu/kaggle-compettions

Kaggle Compettions code

deep-neural-networks kaggle-competition python36

Last synced: 22 Jan 2025

https://github.com/shivamgupta92/sih1477_project_smartindiahackathon

Deploying human soldiers in hazardous environments comes with significant risks, including injuries, fatalities, and potential loss of critical military intelligence due to human errors.

deep-neural-networks figma fusion-360 html-css-javascript lidar raspberry-pi

Last synced: 11 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/ardawanism/advanced_deep_learning_fall_2023

In this repository some codes and visualizations are provided for Advanced Deep Learning course.

advanced-deep-learning convolutional-neural-networks deep-learning deep-neural-networks machine-learning machine-learning-algorithms recurrent-neural-networks

Last synced: 20 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/vatshayan/research-papers-

Research papers as blue prints, drafts, pre prints and published papers

artificial-intelligence big-data blockchain blockchain-technology data-analysis data-mining data-science data-visualization deep-learning deep-neural-networks image-classification image-manipulation image-processing machine-learning machine-learning-algorithms machine-learning-library python supervised-learning unsupervised-machine-learning webdevelopment

Last synced: 15 Jan 2025

https://github.com/ahmad-ali-rafique/yolo-helmet-detection-app

This project implements a helmet detection system using YOLOv3 (You Only Look Once) and Streamlit. The application allows users to upload an image and detect helmets in real-time. The system uses OpenCV and pre-trained YOLOv3 weights to identify helmets in uploaded images, displaying the results with bounding boxes and confidence scores.

artificial-intelligence datascience deep-neural-networks helmet-detection image-processing machine-learning modeling opencv streamlit-dashboard yolov3

Last synced: 16 Jan 2025

https://github.com/ardawanism/fault-detection-and-identification-2023

In this repo, a few topics about useful Machine Learning and Deep Learning algorithms for Fault Detection and Identification are taught.

convlstm convlstm-network convlstm-pytorch convolutional-neural-networks convolutional-recurrent-network deep-learning deep-neural-networks deeplearning fault-detection fault-diagnosis machine-learning machine-learning-algorithms multilayer-perceptron pytorch pytorch-implementation recurrent-neural-networks

Last synced: 20 Jan 2025

https://github.com/ardawanism/mlp-mixer-an-all-mlp-architecture-for-vision

In this repository, a very informative and comprehensive implementation of MLP-Mixer is provided for educational purposes using PyTorch.

computer-vision deep-learning deep-neural-networks fully-connected-network machinevision mlp mlp-mixer

Last synced: 20 Jan 2025

https://github.com/suegk/coursera-deep-learning-specialization

coursera-deep-learning coursera-specialization deep-learning deep-neural-networks deeplearning-ai machine-learning natural-language-processing tensorflow2

Last synced: 14 Jan 2025

https://github.com/ardawanism/convmixer-patches-are-all-you-need

In this repository, a very informative and comprehensive implementation of ConvMixer architecture is provided for educational purposes using PyTorch.

cnns computer-vision convmixer convolutional-neural-networks deep-learning deep-neural-networks machinevision

Last synced: 20 Jan 2025

https://github.com/ardawanism/autoencoder_ml_kntu_spring2024

In this repo, a clean and efficient implementation of Fully-Connected or Dense Autoencoder is provided. The code alongside the video content are created for Machine Learning course instructed at Khajeh Nasir Toosi University of Technology (KNTU).

autoencoder autoencoder-neural-network autoencoders deep-learning deep-neural-networks machine-learning

Last synced: 20 Jan 2025

https://github.com/akashash01/artificial_neural_network

It is an network of neurons that make up a human brain, so that machine can able to learn things and make decision like humans. This deep learning model is more flexible for regression and classification problems(linear & non-linear), susceptible to overfitting.

data-science datavisualization deep-learning deep-neural-networks python

Last synced: 14 Dec 2024

https://github.com/donggeunyu/deep-learning-examples

Deep Learning의 여러 예제를 정리한 것!

deep-learning deep-learning-tutorial deep-neural-networks deeplearning python

Last synced: 16 Jan 2025

https://github.com/kaocc/nerf_2d

Experiments of 2D NeRF (Neural Radiance Fields)

deep-neural-networks nerf

Last synced: 14 Jan 2025

https://github.com/ravisha-144/dl_practice

This repository follows the tutorials of the DL1 course at the UvA

deep-learning deep-neural-networks jax pytorch tensorflow

Last synced: 22 Jan 2025

https://github.com/iamfarrokhnejad/stock-forecasting-rnn

LSTM vs GRU

deep-learning-algorithms deep-neural-networks deeplearning gated-neural-network gated-recurrent-unit gated-recurrent-units gru lstm lstm-model lstm-neural-networks neural-network neural-networks neuralnetwork neuralnetworks python pytorch time-series

Last synced: 22 Jan 2025

https://github.com/fabianhenning/kaggle

artificial-intelligence data-science data-visualization deep-learning deep-neural-networks machine-learning pytorch

Last synced: 22 Jan 2025

https://github.com/minitechy/betavae_variants

beta-VAE variants trained using deep neural networks on the dSprites dataset with PyTorch

beta-vae deep-neural-networks disentanglement dsprites mig mutual-information pytorch sap

Last synced: 22 Jan 2025

https://github.com/berndporr/deep-learning-analytics

The core deep learning math

deep-learning deep-neural-networks

Last synced: 08 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/techshot25/keplerdata

This checks out data provided by the Kepler space telescope to study exoplanets.

artificial-neural-networks decision-tree-algorithm deep-neural-networks k-nearest-neighbors machine-learning matplotlib multi-layer-perceptron neural-network random-undersampling statistics support-vector-machines

Last synced: 07 Jan 2025

https://github.com/omerbsezer/basicrnn

The aim of this implementation is to help to learn structure of basic RNN (RNN cell forward, RNN cell backward, etc..)

deep-learning deep-neural-networks rnn tutorial-code

Last synced: 11 Nov 2024

https://github.com/rathore25/reddit-sentiment-pre-post-covid

covid-19 deep-neural-networks latent-dirichlet-allocation reddit sentiment-analysis topic-modeling

Last synced: 20 Dec 2024

https://github.com/dhrupad17/understanding-deep-learning-through-projects

This repository encapsulates a hands-on approach to mastering the intricate concepts of deep learning. Through practical engagement with real-world projects, learners immerse themselves in the nuances of neural networks, optimization techniques, and model architectures. This methodology fosters a profound comprehensio

artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks lstm-neural-networks project-repository recurrent-neural-networks

Last synced: 16 Jan 2025

https://github.com/zsxoff/deep-learning-brain-segmentation

Brain segmentation for the 2D images using convolutional neural network

brain convolutional-networks convolutional-neural-networks deep-learning deep-neural-networks segmentation tensorflow

Last synced: 16 Jan 2025

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/avidlearnerinprogress/improvingdeepneuralnetworks

Programming assignments of the course

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

Last synced: 14 Jan 2025

https://github.com/aaleksandraristic/innovative-skin-cancer-screening-iscs-utilizing-cnn-models

The goal of this project is to employ deep learning models and advanced techniques to identify abnormalities by analyzing images of the skin tissues.

cnn-classification cnn-keras cnn-model convolutional-neural-networks deep-neural-networks densenet googlenet-inception-network image-classification image-processing python resnet

Last synced: 16 Jan 2025

https://github.com/mehmetgoren/deepstack_service

Feniks iNVR DeepStack Service

computer-vision deep-neural-networks deepstack docker docker-client face-recognition feniks message-broker microservices-architecture object-detection python-multiprocessing pytorch redis

Last synced: 21 Jan 2025

https://github.com/akashash01/convolutional_neural_network

Is a deep neural network, most commonly applied to analyze visual images.

cnn-for-visual-recognition data-science deep-learning deep-neural-networks python

Last synced: 14 Dec 2024

https://github.com/techshot25/fashion-mnist-dnn

Testing the construction of deep neural nets (DNNs) on fashion MNIST dataset.

classification deep-neural-networks machine-learning-algorithms neural-network tensorflow tensorflow-experiments

Last synced: 21 Dec 2024

https://github.com/aaditya29/first-neural-network

Jupyter Notebook predicting the House Prices

deep-learning deep-learning-algorithms deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms neural-network neural-networks

Last synced: 14 Dec 2024

https://github.com/mituskillologies/dl-dvvp-aug24

Deep Learning programs of training conducted at DVVP College of Engineering, Ahmednagar, August 2024

artificial-intelligence artificial-neural-networks computer-vision convolutional-neural-networks deep-learning deep-neural-networks encoder-decoder machine-learning natural-language-processing recurrent-neural-networks

Last synced: 13 Jan 2025

https://github.com/sadmansakib93/arctic-mammal-classification

Deep learning model for acoustic detection and classification of Bowhead whales. This repo contains code for the binary classification model, two classes are: Bowhead whales (BH), Other/background.

annotations audio-analysis audio-classification classification deep-learning deep-neural-networks machine-learning python spectrogram tensorflow

Last synced: 12 Jan 2025

https://github.com/stevenrice99/facial-expression-recognition

Kaggle Challenges in Representation Learning: Facial Expression Recognition Challenge

ai artificial-intelligence classification convolutional-neural-networks deep-learning deep-neural-networks face-recognition facial-recognition kaggle machine-learning ml neural-network neural-networks python python3 pytorch resnet resnet-18 torch torchvision

Last synced: 16 Jan 2025

https://github.com/stevenrice99/wall-following-robot-navigation

Wall-Following Robot Navigation

ai artificial-intelligence batch-normalization classification deep-learning deep-neural-networks dropout dropout-layers machine-learning ml neural-network neural-networks pandas python python3 pytorch sklearn torch uc-irvine uc-irvine-dataset

Last synced: 16 Jan 2025

https://github.com/chaitanyak77/sign-language-to-text-converter

cnn-for-visual-recognition deep-neural-networks

Last synced: 16 Jan 2025

https://github.com/chaitanyak77/optimal-detection-of-diabetic-retinopathy-severity-using-attention-based-cnn-and-vision-transformers

This repository contains the implementation of a hybrid model combining Attention-Based Convolutional Neural Networks (CNNs) and Vision Transformers (ViT) to classify the severity levels of diabetic retinopathy.

cnn-classification deep-neural-networks diabetic-retinopathy-detection image-processing transformers vision-transformer

Last synced: 16 Jan 2025

https://github.com/ztrimus/digit-recognition-from-scratch-neural-network

Avoided use of Built-in Models, function in Pytorch. Used Pytorch API and MNIST Dataset.

deep-learning deep-neural-networks machine-learning neural-network python

Last synced: 22 Jan 2025

https://github.com/mehmetgoren/detect_service

Feniks iNVR Object Detection Service

computer-vision deep-neural-networks feniks machine-learning message-broker microservices-architecture nvidia-jetson object-detection pytorch redis tensorflow

Last synced: 21 Jan 2025

https://github.com/mehmetgoren/facial_recognition

Feniks iNVR Face Recognition Service

computer-vision deep-neural-networks face-detection face-recognition feniks message-broker microservice-architecture mtcnn pytorch redis

Last synced: 21 Jan 2025

https://github.com/achint08/handwritten

Handwritten digit recognition

computer-vision convolutional-neural-networks deep-neural-networks machine-learning

Last synced: 30 Nov 2024

https://github.com/aman-17/deep-learning-practise

Practicing deep learning also involves being familiar with the libraries and frameworks like Tensorflow, Pytorch, Theano, etc. that are commonly used to train and deploy deep learning models, as well as staying up to date with the latest research and advancements in the field.

deep-learning deep-neural-networks python pytorch tensorflow

Last synced: 25 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/justdvnsh/research-summarizer

A research paper summariezer app

app deep-learning deep-neural-networks encoder-decoder gru lstm machine-learning machine-learning-algorithms research rnn rnn-tensorflow seq2seq summarizer webapp

Last synced: 14 Dec 2024

https://github.com/makism/mtggg

mtg good game

apache-spark data-engineering data-science deep-neural-networks python

Last synced: 20 Jan 2025

https://github.com/justdvnsh/dbot

My chatbot

chatbot dbot decoder deep-learning deep-neural-networks encoder encoder-decoder-model gru lstm machine-learning machine-learning-algorithms rnn rnn-tensorflow seq2seq

Last synced: 14 Dec 2024

https://github.com/somenath203/predicting-future-retail-sales-of-clothing-stores-using-lstm

deep-learning deep-neural-networks forecasting keras long-short-term-memory lstm rnn tensorflow timeseries-forecasting

Last synced: 20 Jan 2025

https://github.com/lovi-0/flippy-bird

Flappy Bird Game with AI

deep-neural-networks flappy-bird game neat-algorithm neat-python python

Last synced: 26 Jan 2025

https://github.com/emrd/python-machine-learning-example

deep-learning deep-neural-networks machine-learning machine-learning-algorithms python

Last synced: 02 Jan 2025

https://github.com/kanishknavale/training_don_a_novel_approach

Repository for research paper "Training Dense Object Nets: A Novel Approach"

computer-vision deep-neural-networks dense-object-nets image-correspondences image-dataset image-processing keypointnet pytorch pytorch-lightning synthetic-augmentation synthetic-dataset-generation

Last synced: 06 Jan 2025

https://github.com/motykatomasz/deepimageprior

Project reproducing part of "Deep Image Prior" paper, conducted for Deep Learning course (CS4240) at TU Delft.

cnn deep-learning deep-neural-networks pytorch

Last synced: 15 Dec 2024

https://github.com/somjit101/self-driving-car

An implementation of a simple self-driving car control using the image feed from a single dashcam.

autonomous-driving autonomous-vehicles car cnn cnn-keras convolutional-layers convolutional-neural-networks dash-cam deep-learning deep-neural-networks feature-extraction neural-network self-driving-car tensorflow

Last synced: 16 Jan 2025

https://github.com/deepschneider/simpsons-dcgan

My attempt to design DCGAN

dcgan dcgan-keras dcgan-model dcgan-tensorflow deep-neural-networks deepfakes gan gan-keras keras keras-models keras-tensorflow keras-tutorials python radford simpsons-dcgan tensorflow tensorflow-models

Last synced: 16 Jan 2025

https://github.com/deepschneider/faces-dcgan

DCGAN for human faces generation (Radford architecture, Keras framework)

dcgan dcgan-keras dcgan-model deep-learning deep-neural-networks deepfakes face-generation gan gan-keras image-generation image-generator keras keras-models keras-tutorials python radford

Last synced: 16 Jan 2025

https://github.com/wa-lead/virtual_screnning_using_cnns

Using Chemception to predict the activity of molecules against aid_686978. Taking this further to visualize kernels decision process through Grad-CAM.

deep-neural-networks drug python tensorflow

Last synced: 26 Jan 2025

https://github.com/md-emon-hasan/ml_project_fake_news_predictin_using_deep_learning_with_lstm

📰 The Fake News Detection System uses deep learning techniques, specifically LSTM models, to classify news articles as real or fake.

ai cnn data-science deep-learning deep-neural-networks fake-new fake-news-detection gru keras lstm lstm-neural-networks machine-learning ml news-classification rnn sentiment-analysis tensorflow tensorflow-model text-classification text-processing

Last synced: 22 Jan 2025

https://github.com/sebukpor/breast-cancer-classification

this model classifies breast cancer as either benign or malignant

deep-learning deep-neural-networks tensorflow tensorflowjs

Last synced: 22 Dec 2024

https://github.com/ondrejbiza/drl_gym

Deep Reinforcement Learning gym.

deep-neural-networks deep-reinforcement-learning openai-gym reinforcement-agents reinforcement-learning tensorflow tensorflow-experiments

Last synced: 08 Jan 2025

https://github.com/ayodimeji1/ai_convolutional_neural_network

artificial-intelligence classification deep-neural-networks keras machine-learning matplotlib tensorflow

Last synced: 22 Dec 2024

https://github.com/shashwat9kumar/covid_face_mask_detection

Detecting whether a person in the picture has face mask on or not using a convolutional neural network

cnn covid19 deep-learning deep-neural-networks face-detection mask-detection tensorflow

Last synced: 12 Jan 2025

https://github.com/hackintoshrao/tensorflow-income-bracket

Predicting whether the income > 50K based on the information about the individuals.

classification deep-learning deep-neural-networks tensorflow

Last synced: 12 Jan 2025

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/maosong2022/tinyneuralnetwork

A simply C++ implemented neural networks

cpp cpp17 deep-learning deep-neural-networks

Last synced: 22 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/kmohamedalie/dtm_deep_learning_euclid_dataset

Euclid Dataset

computer-vision convolutional-neural-networks deep-neural-networks geometry machine-learning mathematics

Last synced: 02 Jan 2025

https://github.com/saeedanbarimoghadam/-detection-of-covid-19-using-deep-learning-algorithms

cnn covid-19 deep-learning deep-neural-networks tensorflow vgg16-model vgg19-model vgg19-model-medical-image-processing

Last synced: 22 Jan 2025

https://github.com/mohamedomar2020/keras_tensorflow

Using Keras to build a deep neural network for bladder cancer progression

adam-optimizer bladder-cancer cancer cancer-research deep-learning deep-neural-networks dropout genomics keras keras-tensorflow machine-learning machine-learning-algorithms multi-perceptron sgd-optimizer softmax tensorflow

Last synced: 03 Oct 2024

https://github.com/ofir-frd/cats-vs-dogs-deep-learning

deep-learning deep-neural-networks dogs-vs-cats mobilenet vgg16

Last synced: 11 Jan 2025

https://github.com/suwadith/footy-predictor-football-match-prediction-tensorflow-fastapi-plugin

A Deep-Learning (Tensorflow) based project which can be used to predict weekly EPL match results. Uses FastAPI as the backend to feed the results to a Chrome based plugin which then modifies the SkySports website to convey the predicted outcomes.

api chrome-extension deep-learning deep-neural-networks fastapi football prediction tensorflow

Last synced: 13 Jan 2025

https://github.com/alex-lechner/carnd-semanticsegmentation-p12

An approach for pixel-based classification of drivable parts of the road (known as Semantic Segmentation). Project 12 of Udacity's Self-Driving Car Engineer Nanodegree Program.

autonomous-vehicles deep-learning deep-neural-networks deeplearning fully-convolutional-networks self-driving-car semantic-segmentation tensorflow

Last synced: 22 Jan 2025

https://github.com/alex-lechner/carnd-behavioralcloning-p3

Driving a car around a track in Udacity's car simulator only with image data and neural networks. Project 3 of Udacity's Self-Driving Car Engineer Nanodegree Program.

autonomous-vehicles behavioral-cloning convolutional-neural-networks deep-learning deep-neural-networks keras keras-neural-networks self-driving-car udacity-self-driving-car

Last synced: 22 Jan 2025

https://github.com/harshuljain13/dogsbreedclassification

Classifying the dogs breed using transfer learning in DeepLearning

deep-learning deep-neural-networks inceptionv3 keras tensorflow transfer-learning

Last synced: 30 Dec 2024

https://github.com/himudigonda/digits-recognition

This project uses ML and keras modules to recognise digits from the given dataset.

deep-learning deep-neural-networks digit-recognizer jupyter-notebook keras tensorflow

Last synced: 15 Nov 2024

https://github.com/gregyjames/rperceptron

A simple perceptron implemented in R.

classification classification-algorithims classification-algorithm data-science deep-learning deep-neural-networks graphing linear-classifier perceptron perceptron-learning-algorithm r

Last synced: 08 Jan 2025

https://github.com/prpriesler/covid19-insights-and-analytics

This project delves into the realm of data analytics and programming, focusing on four pivotal datasets related to the COVID-19 pandemic: confirmed global, death global, vaccination & population data, and Twitter data.

covid19 covid19-data data data-science dataanalytics deep-neural-networks machine-learning natural-language-processing

Last synced: 28 Dec 2024

https://github.com/hemanthh17/ct5129-thesis-image-dehazing

ClearFlow: An Enhanced Image Dehazing Workflow Using Model Ensembling and CNN Postprocessing. This project is aimed to train a neural network to handle the task of image dehazing.

computer-vision deep-learning deep-neural-networks torch torchvision

Last synced: 21 Jan 2025

https://github.com/harikishan-ai/harikishan-ai

I am dedicated to delivering innovative solutions that align with business objectives while ensuring optimal performance, reliability, and security. My strong analytical skills, attention to detail, and problem-solving abilities drive me to create effective and efficient solutions.

analystics automation aws-ec2 aws-lambda aws-s3 awsglue cnn deep-neural-networks logs lstm machine-learning oops-in-python powerbi python rnn transformers

Last synced: 25 Jan 2025

https://github.com/sensorsini/pycaffejaer

A collection of utilities useful to debug deep-networks trained with Caffe Deep Learning Framework. This utilities can also be used to convert caffe networks into jAER xml format

deep-learning deep-neural-networks machine-vision sensors

Last synced: 21 Jan 2025

https://github.com/t-mohamed-shafeek/vgg16-for-malware-classification

This is a Research project which introduces an AI approach which is Deep Neural Networks in this case, to detect and classify different malwares belonging to various families represented as images.

classification cnn deep-learning deep-neural-networks fine-tuning hyperparameter-tuning malware-research supervised-learning transfer-learning vgg16

Last synced: 14 Dec 2024

https://github.com/natielle/udemy-tensorflowcompython

Material de estudo do curso: https://www.udemy.com/course/tensorflow-machine-learning-deep-learning-python/learn/lecture/12670278#overview

deep-learning deep-neural-networks deeplearning python tensorflow

Last synced: 21 Jan 2025

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: 21 Dec 2024

https://github.com/aishwaryahastak/alzheimer-s-detection

Alzheimer's Detection from Brain MRI scans using DNN

deep-neural-networks healthcare image-classification

Last synced: 02 Jan 2025

https://github.com/ambroisem/ml_fun

deep-neural-networks image-classification image-segmentation level-set object-detection python tensorflow yolov1-pytorch yolov2-pytorch

Last synced: 14 Jan 2025

https://github.com/asaficontact/stack_classifier_project

We classified Stack Overflow Python questions from 2008-2016 with Natural Language Processing and Deep Learning. Using Regular Expressions, we removed HTML tags and punctuation. We also utilized spaCy to tokenize, lemmatize and remove stop words. Using Keras, we built a 4 layered artificial neural network with a 20% dropout rate using relu and softmax activation functions. We also utilized the adam optimizer and categorical cross-entropy loss function which classified 11 tags 88% successfully.

cross-entropy-loss deep-learning deep-neural-networks keras lemmatization neural-networks object-oriented-programming pandas python3 regular-expressions relu sklearn spacy spacy-nlp stackoverflow tfidf tokenization

Last synced: 22 Dec 2024

https://github.com/valeman/udacity-self-driving-car-traffic-signs-classifier-p2

My project pipeline for the Udacity Self-Driving-Car Nanodegree program's Project 2 - Traffic Sign Classifier

convolutional-neural-networks deep-learning deep-neural-networks machine-vision pyton self-driving-car tensorflow

Last synced: 22 Jan 2025

https://github.com/m0saan/guitardetect

Deep Learning for Guitars 🎸: Guitar Classifier using CNN

cnn cnn-classification deep-neural-networks guitar-classifier

Last synced: 16 Jan 2025

https://github.com/faisal-fida/nlp-classification-qna-for-beginners

Natural language processing (NLP) tasks: text classification and text generation. The notebooks explore different techniques and models for handling these tasks, offering insights into common challenges and solutions.

challenges deep-neural-networks nlp-machine-learning text-classification text-generation

Last synced: 08 Jan 2025

https://github.com/mauricioacosta/reconocimientoexpresionesfaciales

Red Neuronal para predecir emociones

deep-neural-networks keras-tensorflow python3 tensorflow

Last synced: 21 Jan 2025

https://github.com/abhinavbammidi1401/deeplearning

This repository contains a collection of deep learning models and tools for various tasks such as image classification and generative modeling. Built with popular frameworks like TensorFlow, Keras and PyTorch, it includes code examples, pre-trained models, and detailed documentation to help you get started with deep learning.

deep-learning deep-neural-networks image-classification yolov5

Last synced: 21 Jan 2025

https://github.com/mvinyard/neural-diffeqs

Instantiate neural differential equations with ease

deep-learning deep-neural-networks neural-differential-equations neural-networks pytorch

Last synced: 25 Jan 2025

https://github.com/maxvandenhoven/deep-defect-detection

University project applying deep neural networks and automatic hyperparameter optimization to detect defects in manufactured parts

binary-classification convolutional-neural-networks deep-learning deep-neural-networks defect-detection hyperopt hyperparameter-optimization python pytorch sklearn

Last synced: 29 Dec 2024

https://github.com/blacksujit/deep-neural-networks

This repo contains my Neural Networks Learning With Projects

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 Nov 2024

https://github.com/absognety/eva4

Extensive Vision AI Program from The School Of AI

batch-normalization cnns computer-vision deep-neural-networks dropout kernels maxpooling pytorch softmax

Last synced: 22 Jan 2025

https://github.com/ahammadmejbah/fundamental-concepts-and-architectures-of-neural-network

Neural Networks are a set of algorithms, modeled loosely after the human brain, designed to recognize patterns. They interpret sensory data through a kind of machine perception, labeling, and clustering of raw input.

deep-learning deep-learning-algorithms deep-neural-networks deep-reinforcement-learning

Last synced: 09 Jan 2025

https://github.com/rishikesh-jadhav/robot-learning

This repository contains my solutions and code submissions for assignments and projects completed as part of ENPM690 during Spring 2024. Each assignment is organized in its own folder, with accompanying documentation and any necessary resources.

computer-vision deep-learning deep-neural-networks imitation-learning machine-learning reinforcement-learning robotics

Last synced: 22 Jan 2025