Ecosyste.ms: Awesome
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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.
- GitHub: https://github.com/topics/deep-neural-networks
- Wikipedia: https://en.wikipedia.org/wiki/Deep_neural_networks
- Aliases: deep-neural-network,
- Last updated: 2025-01-28 00:07:11 UTC
- JSON Representation
https://github.com/applicativesystem/go-microrna-deep
a microRNA deep learning go package
bioinformatics deep-learning deep-neural-networks genome-analysis micrornas neural-networks
Last synced: 16 Dec 2024
https://github.com/applicativesystem/metagenomics-neural-net
application of expression basedneural network to metagenomics
bioinformatics deep-learning deep-neural-networks genome-analysis metagenomes metagenomics neural-network neural-network-metagenomics
Last synced: 16 Dec 2024
https://github.com/applicativesystem/bacterial-genome-deep-learning
bacterial genome deep learning using keras
bacterial-deep bacterial-metagenomics deep-learning-algorithms deep-neural-networks deeplearning genome-analysis metagenomes
Last synced: 16 Dec 2024
https://github.com/arpan132002/fitness-tracker-using-smart-watches
This repository contains the code for a full machine learning project that tracks fitness activities. The project demonstrates the process of building a fitness tracker using Python and machine learning techniques
deep-neural-networks machine-learning outlier-detection
Last synced: 03 Dec 2024
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/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/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/stupidcucumber/stablediffusion
A repository for fine-tuning StableDiffusion2.
deep-neural-networks diffusion-models generation python stable-diffusion text-to-image torch training
Last synced: 19 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/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/stupidcucumber/deeplabv3-celebhq
Trained Torch version of the DeepLab on the CelebHQ.
deep-neural-networks deeplabv3 face-segmentation python3 segmentation-models torch
Last synced: 19 Jan 2025
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/makism/mtggg
mtg good game
apache-spark data-engineering data-science deep-neural-networks python
Last synced: 20 Jan 2025
https://github.com/hansalemaos/tools4yolo
Some image augmentation tools for yolov5 (and probably other models)
augmentation darknet dataset deep-learning deep-learning-algorithms deep-neural-networks deep-reinforcement-learning deeplearning-ai generate image imagerecognition learning locate machine ml pytorch training yolo yolov5
Last synced: 23 Dec 2024
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/aravinda-1402/diabetes-prediction-using-machine-learning
To predict whether a person has diabetes or not depending on the parameters given using the 'PIMA Diabetes' dataset
data-science deep-neural-networks machine-learning-algorithms
Last synced: 19 Jan 2025
https://github.com/imumi17/melanoma-skin-cancer-detection
Melanoma Cancer Detection
deep-learning deep-neural-networks melanoma-detection
Last synced: 30 Dec 2024
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/clementetienam/ccr_piezoresponse-force-microscopy-
Using CCR to predict piezoresponse force microscopy datasets
deep-neural-networks machine-learning mixture-of-experts supervised-learning
Last synced: 04 Dec 2024
https://github.com/inviii/ava
AVA is an AI/ML-based open-source program designed for fully autonomous Cars and Drones. AVA stands for AUTONOMOUS VEHICLE & AVIATION
ava aviation computer-vision convolutional-neural-networks deep-neural-networks lane-finding machine-learning self-driving-car tensorflow traffic-sign-classification vehicle-detection
Last synced: 19 Jan 2025
https://github.com/rudrakhp/nnfl-term-project
deep-belief-network deep-neural-networks matlab mnist-classification
Last synced: 26 Jan 2025
https://github.com/karan-malik/digitrecognition
Using Deep Learning to recognize Handwritten Digits (MNIST) and hosted using Flask
cnn cnn-keras convnet convolutional-neural-networks css deep-learning deep-neural-networks deeplearning flask flask-application html html5 keras machine-learning mnist-classification mnist-handwriting-recognition python python3
Last synced: 14 Jan 2025
https://github.com/abdullah2020/hamoye_staged
This is my Stage_D Hamoye Internship project. The project focuses strongly in developing CNN Deep Learning algorithm model that would analysis huge image dataset.
cnn-model deep deep-neural-networks image-classification
Last synced: 04 Dec 2024
https://github.com/lifeisbeautifu1/deep-learning
My Google Colab notebooks for studying Deep Learning
ai computer-vision convolutional-neural-networks data-science deep-learning deep-neural-networks difussion machine-learning neural-network notebook python pytorch tensorflow text-to-image
Last synced: 19 Jan 2025
https://github.com/aaleksandraristic/intelligent-ecg-diagnostic-system-based-on-cnn-models
Implement an intelligent diagnostic system capable of accurately classifying cardiac activity. By analyzing ECG images or electronic readings, the system aims to detect various abnormalities, including distinguishing normal vs. abnormal heartbeats, identifying myocardial infarction (MI) and its history, and assessing the impact of COVID-19.
classification-algorithm cnn-keras cnn-model convolutional-neural-networks deep-learning deep-neural-networks ecg-classification ecg-signal image-classification image-preprocessing machine-learning resnet resnet-50 vgg16 vgg16-model
Last synced: 16 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/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: 09 Dec 2024
https://github.com/shubhamahobia/ann-classification
The project involves developing a machine learning model to predict customer churn using Artificial Neural Networks (ANN). Customer churn refers to the loss of clients or subscribers. Accurately predicting churn helps businesses implement strategies to retain customers, thereby increasing profitability.
aritificial-intelligence artificial-neural-networks churn-prediction churn-rates classification deep-learning deep-neural-networks machine-learning
Last synced: 27 Dec 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
Last synced: 10 Oct 2024
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/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/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/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: 09 Dec 2024
https://github.com/karan-malik/self-organizing-maps
Python implementation of the unsupervised Deep Learning Algorithm SOM
deep-learning deep-neural-networks deeplearning dimensionality-reduction python python3 self-organizing-map som unsupervised-deep-learning unsupervised-learning unsupervised-machine-learning
Last synced: 14 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/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/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: 05 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/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/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: 10 Oct 2024
https://github.com/volf52/deep-neural-net
A simple deep neural net class written to work with Numpy and Cupy
binarized-neural-networks binary-neural-networks bnn cupy deep-learning deep-neural-networks mnist numpy python python3
Last synced: 05 Dec 2024
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: 05 Dec 2024
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/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/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/j3-signalroom/j3-ml_ai-education_experiences
Some of the project notebooks I built during my deepatlas.ai well-rounded education program.
artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks machine-learning
Last synced: 14 Dec 2024
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/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/pritz69/wine_quality_prediction_ml
Neural Networks and Deep Learning Project ,developing a Machine Learning Model .
artificial-intelligence deep-learning deep-neural-networks machine-learning neural-networks
Last synced: 11 Jan 2025
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: 10 Oct 2024
https://github.com/aravinda-1402/cotton_disease_prediction
Deep Learning model to detect a diseased cotton plant
cnn deep-neural-networks python3
Last synced: 19 Jan 2025
https://github.com/srineogi/deals-prediction-python
Binary Classification problem (Won = 1, Lost=0)
binaryclassification classification deals decision-tree-classifier deep-learning deep-neural-networks knn-classifier machine-learning python random-forest-classifier sckiit-learn svm-classifier tensorflow
Last synced: 30 Dec 2024
https://github.com/phyulwin/machine-learning-with-python-projects
Projects for Machine Learning with Python freeCodeCamp (Updated Solution in Progress... 🌿)
deep-neural-networks google-colab machine-learning python tensorflow
Last synced: 30 Dec 2024
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/amdjadouxx/chifoumiai
A model which take an image of a hand making a sign (paper, scissor, rock) and detect which sign it is, improvement to come
artificial-neural-networks cnn-classification deep-neural-networks ia python3 tensorflow-tutorials
Last synced: 10 Oct 2024
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/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/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/ostaptan/road_signs_prediction
Road signs prediction CNN model
cnn-classification deep-neural-networks machine-vision relu tensorflow
Last synced: 19 Jan 2025
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/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/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/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/kaocc/nerf_2d
Experiments of 2D NeRF (Neural Radiance Fields)
Last synced: 14 Jan 2025
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/ggiuffre/machine-lambda
Purely functional implementation of SGD on feed-forward neural nets
deep-neural-networks functional-programming haskell-library neural-network stochastic-gradient-descent
Last synced: 19 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
https://github.com/sumanthgubbala/dog-vs-cat-classification
Dog vs Cat Classification using Transfer Learning
deep-neural-networks dog-vs-cat-classification flask tensorflow tensorflowhu transfer-learning
Last synced: 30 Dec 2024
https://github.com/redleader962/une-intuition-sur-rudder
Ressources pour la présentation orale: "Une intuition sur RUDDER (Return Decomposition for Delayed Rewards)"
deep-learning deep-neural-networks deep-reinforcement-learning neural-network reward-shaping
Last synced: 24 Dec 2024
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/codehub001/crop-recommendation-using-ml-dp
It is major project .
css3 deep-learning deep-neural-networks dsa-algorithm html js ml python
Last synced: 12 Dec 2024
https://github.com/heet9022/ye-kiski-tasweer-hai
A platform for training, labeling and retraining image classification models.
deep-neural-networks image-classification platform resnet
Last synced: 12 Dec 2024
https://github.com/axmand/neuro
deep-learning deep-neural-networks deep-reinforcement-learning
Last synced: 04 Dec 2024
https://github.com/xaxm007/mlchemy
A workspace related to all my Machine Learning study.
association-rule-learning classification-model clustering deep-neural-networks dimentionality-reduction machine-learning nlp-machine-learning pca regression-models reinforcement-learning-algorithms
Last synced: 17 Dec 2024
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/tushard702/sentiment-analysis
Sentiment analysis is the automated process of understanding an opinion about a given subject from written or spoken language. Implemented using RNN
deep-neural-networks machine-learning python
Last synced: 01 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/autuanliu/kaggle-compettions
Kaggle Compettions code
deep-neural-networks kaggle-competition python36
Last synced: 22 Jan 2025
https://github.com/bilalhameed248/nlp-fake-news-classification
Fake News Classification using Naive Bayes, Passive-Aggressive (PA) Classifier and Artificia Neural Network (ANN)
artificial-neural-networks deep-learning deep-neural-networks embeddings machine-learning naive-bayes-classifier nlp nlp-basic passive-aggressive-classifier
Last synced: 16 Jan 2025
https://github.com/malolm/educationnal-neural-network-framework
Python implementation of an artificial neural network aimed at deeply mastering the underlying concepts that drive neural networks. This project is inspired by Andrej Karpathy and Russ Salakhutdinov.
deep-neural-networks mnist-classification python3
Last synced: 13 Dec 2024
https://github.com/danhenriquex/data_science_and_machine_learning
A.I, Data Science & Machine Learning and Deep Learning with Tensorflow
deep-learning deep-neural-networks machine-learning matplotlib numpy pandas tensorflow
Last synced: 14 Jan 2025
https://github.com/kowshik24/predictstock
🚀 StockSage: Predicting Tomorrow's Stocks, Today! 🌌 Dive deep into the future of stock prices with StockSage! Powered by LSTM networks, this repository is a treasure trove for those looking to explore the intricacies of stock price predictions. 📈✨ 🔗 Live App: https://stocksage.streamlit.app/
data-science data-visualization deep-neural-networks lstm stock-market streamlit tensorflow
Last synced: 13 Dec 2024
https://github.com/utility-code/sprintdl
pytorch wrapper for easier experimentation
deep-learning deep-neural-networks pytorch
Last synced: 21 Jan 2025
https://github.com/bilalhameed248/patient-most-recent-treatments-similarity-measuring
BioBert Enhanced Patient Treatment Similarity Analysis with Sentence Transformers
bert bert-fine-tuning bert-model biobert data-extraction data-preprocessing data-science deep-learning deep-neural-networks dnn python pytorch sentence-embeddings sentence-similarity sentence-transformers sentiment-analysis transformer
Last synced: 16 Jan 2025
https://github.com/ducthienbui97/celebrity-faces-classifier
Classifier can detect 88 celebrities with accuracy of 50%
classification classifier cntk convolutional-neural-networks deep-learning deep-neural-networks jupyter-notebook keras python python3
Last synced: 17 Dec 2024
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/bilalhameed248/delay-reason-extraction-model
Efficient Delay Reason Extraction in Patient Appointments/Treatments Using BERT and Tensorflow. - Feb 2022 - Jun 2023
bert bert-fine-tuning bert-model biobert data-extraction data-preprocessing data-science deep-learning deep-neural-networks dnn pytorch semantic-analysis sentence-embeddings tensorflow transformer
Last synced: 16 Jan 2025
https://github.com/saikat-roy/deep-convolutional-gan
DCGAN implemented as part of the Deep Learning for Computer Vision course at the University of Bonn (WS 2018/19)
dcgan deep-learning deep-neural-networks generative-adversarial-network
Last synced: 23 Dec 2024
https://github.com/mvinyard/torch-nets
Compose PyTorch Neural Networks
deep-learning deep-neural-networks machine-learning neural-networks python pytorch
Last synced: 20 Jan 2025