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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: 2025-01-24 00:07:47 UTC
- JSON Representation
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/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/zaquyn/tensorflow-developer-certificate-bootcamp
These notebooks contain many foundations in TensorFlow from to fundamental to NLP, Computer Vision and Time series
artificial-intelligence deep-learning deep-neural-networks tensorflow tensorflow-tutorials tensorflow2
Last synced: 21 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/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: 21 Dec 2024
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/george-nyamao/keras-cnn-mnist-tuning
This repository illustrates model tuning using the Keras MNIST dataset with CNN.
convolutional-neural-networks deep-learning deep-neural-networks keras-tensorflow mnist-dataset
Last synced: 06 Dec 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: 21 Dec 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: 21 Dec 2024
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/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/axmand/neuro
deep-learning deep-neural-networks deep-reinforcement-learning
Last synced: 04 Dec 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/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/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/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/zakircodearchitect/flight-intent-classifier
This project uses a Bidirectional LSTM model to classify flight-related queries into 8 intents. Trained on the ATIS dataset, it achieved 97% test accuracy and is ideal for travel-related chatbots.
atis-dataset deep-neural-networks intent-classification neural-network
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
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/apal21/tensorflow-pima-indians-dataset-classification
Pima Indians Dataset classification using Tensorflow Linear Classifier and DNN Classifier.
classification deep-neural-networks kaggle linear-classifier pandas pima-indians-dataset scikit-learn tensorflow
Last synced: 31 Dec 2024
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/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: 07 Dec 2024
https://github.com/hayatiyrtgl/lstm_time_seriesv2
The code downloads Microsoft stock data, preprocesses it, builds and trains a deep learning model, and visualizes predictions.
analyzer deep-learning deep-neural-networks forecasting lstm pandas python time-series
Last synced: 22 Dec 2024
https://github.com/pegah-ardehkhani/predictive-maintenance-using-ml
A machine learning project for predictive maintenance, designed to forecast equipment failures and optimize maintenance schedules to reduce downtime and operational costs
adaboost decision-tree deep-learning deep-neural-networks feature-importance knn logistic-regression machine-learning machine-learning-algorithms matplotlib numpy pandas plotly predictive-maintenance random-forest seaborn sklearn stacking svm tensorflow
Last synced: 18 Jan 2025
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/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/vutrong826/yolov8-tumor-segmentation
Brain tumor segmentation using YOLO architecture for fast and accurate detection.
deep-learning deep-neural-networks python pytorch segmentation tensorflow tumor-segmentation yolo yolov8 you-only-look-once
Last synced: 23 Jan 2025
https://github.com/erfanzar/cnn-custom-object-detection
a custom object detection with cnn and residual blocks and ready to train with at least 100 classes
artificial-intelligence artificial-intelligence-algorithms artificial-neural-networks deep-learning deep-neural-networks deeplearning-ai object-detection python
Last synced: 28 Dec 2024
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/ivanrj7j/super-cars-vs-suvs
This is a deep neural network that looks at an images of cars and then classify them as suv and supercars
cnn deep-learning deep-neural-networks image-classification machine-learning
Last synced: 22 Dec 2024
https://github.com/mohamedsebaie/gender-age-race_prediction_keras
Gender Age Race Prediction Keras with Multiple Heads to The Model.
computer-vision deep-learning deep-neural-networks keras keras-classification-models keras-neural-networks keras-tensorflow neural-network python
Last synced: 21 Jan 2025
https://github.com/sreecharanv/generating-realistic-and-diverse-textual-movie-reviews-with-imdb-dataset-leveraging-deep-learning
This project uses GPT-2 to generate realistic movie reviews from the IMDb dataset. By preprocessing data and fine-tuning the model, we achieved human-like text quality. The model's reviews were evaluated for coherence and diversity, showcasing GPT-2's potential in automated text generation.
deep-learning deep-neural-networks gpt-2 large-language-models machine-learning movie-reviews natural-language-processing text-generation
Last synced: 30 Nov 2024
https://github.com/vpanjeta/gamebot
A game bot using OpenAI gym and Reinforcement Learinng
convolutional-neural-networks deep deep-learning deep-neural-networks learning openai openai-gym openai-universe reinforcement reinforcement-learning
Last synced: 28 Dec 2024
https://github.com/wambugu71/tree-couting-deepforest-drone_imagery
Counting the number of trees in an area, muringato area.
data-science deep-learning deep-neural-networks ecology image-recognition machine-learning object-detection python
Last synced: 23 Jan 2025
https://github.com/kmr0877/digit-recognition
Implementation of CNNs for handwritten digit recognition
convolutional-neural-networks deep-learning deep-learning-algorithms deep-neural-networks mnist mnist-classification mnist-dataset mnist-handwriting-recognition mnist-image-dataset python3 recurrent-neural-networks tensorflow
Last synced: 28 Dec 2024
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/gyselle-marques/neural-network-mnist
Implementação em Python de uma rede neural de Deep Learning para reconhecimento de dígitos.
deep-learning deep-neural-networks machine-learning neural-network portuguese-brazilian python
Last synced: 13 Jan 2025
https://github.com/mawadamhd/deep-learning-with-keras-and-tensorflow-course
This repository Course materials for Deep Learning with Keras and TensorFlow course. This repository includes Jupyter notebooks, datasets, assignments, and solutions .
deep-learning deep-neural-networks keras keras-tensorflow tensorflow
Last synced: 07 Dec 2024
https://github.com/binarybrainiacs/nexly
Deep Tech R&D Research
artificial-intelligence cpp20 cuda cuda-kernels cuda-programming deep-learning deep-neural-networks experimental hpc-systems infrastructure java maven natural-language-processing reccomendation-system research-and-development visual-studio
Last synced: 22 Dec 2024
https://github.com/gkouros/cs231n-spring2018-assignments
Spring 2018 Assignments for the "Convolutional Neural Networks for Visual Recognition (cs231n)" course from Stanford University
cnn-for-visual-recognition deep-learning deep-neural-networks generative-adversarial-networks lstm-neural-networks recurrent-neural-networks stanford-cs231n
Last synced: 01 Dec 2024
https://github.com/mohammad95labbaf/lung-segmentation
The preparation for the Lung X-Ray Mask Segmentation project included the use of augmentation methods like flipping to improve the dataset, along with measures to ensure data uniformity and quality. The model architecture was explored with two types of ResNets: the traditional CNN layers and Depthwise Separable.
chest-xray-images chest-xrays cnn cnn-keras convolutional-neural-networks deep-learning deep-neural-networks deeplearning depthwise-separable-convolutions depthwiseseparableconvolution lung-disease lung-segmentation segment segmentation x-ray-images
Last synced: 13 Jan 2025
https://github.com/aryanjain28/blog---linear-regression
My first blog explains the concepts of linear regression that are the first steps towards advanced ML/AI.
blog blogs deep-learning deep-learning-blog deep-neural-networks deeplearning linear-regression linear-regression-blog machine-learning machine-learning-blogs ml-blog
Last synced: 01 Dec 2024
https://github.com/aryanjain28/blog-convolution-neural-network-cnn-
Easy explanation on Convolutional Neural Network.
blog blogs cnn cnn-blog cnn-classification convolutional-neural-networks deep-learning deep-neural-networks deeplearning machine-learning machine-learning-algorithms neural-network
Last synced: 01 Dec 2024
https://github.com/aryanjain28/blog---r-cnn-fast-r-cnn-faster-r-cnn
Easy explanation on different object detection approaches like - R-CNN, Fast R-CNN, and Faster R-CNN.
blog blogs deep-learning deep-neural-networks deeplearning fast-r-cnn faster-rcnn machine-learning machine-learning-algorithms r-cnn
Last synced: 01 Dec 2024
https://github.com/aryanjain28/blog---logistic-regression
This blog is my attempt to explain logistic regression in the easiest way possible.
algorithms blog blogs deep-learning deep-neural-networks deeplearning logistic-regression logistic-regression-algorithm machine-learning machine-learning-algorithms
Last synced: 01 Dec 2024
https://github.com/ahmad-ali-rafique/batch-card-detection-app
A deep learning-based Streamlit app to detect if a person is wearing a batch card, built with TensorFlow. Includes trained model, app interface, and deployment guide.
ai artificial-intelligence carddetection deep-neural-networks streamlit-dashboard tensorflow
Last synced: 15 Dec 2024
https://github.com/margaretkhendre/nonprofit-funding-vs-deep-learning-challenge
In this repository, Google Colab is paired with neural networks and deep learning to examine data from the nonprofit, Alphabet Soup. This nonprofit desires a tool that can help it select applicants for funding, so a binary classifier will be created to predict whether applicants will be successful if funded by Alphabet Soup.
colab-notebook deep-neural-networks deeplearning jupyter-notebook neural-networks pandas standardscaler tensorflow
Last synced: 09 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: 29 Nov 2024
https://github.com/raufjatoi/handwritten-character-recognition
Handwritten character recognition system that can recognize various handwritten characters or alphabets. I will extend this to recognize entire words or sentences.
deep-learning deep-neural-networks machine-learning mnist-handwriting-recognition
Last synced: 25 Nov 2024
https://github.com/s1s1ty/mlpractice
ML practice for learning
computer-vision deep-neural-networks machine-learning
Last synced: 23 Jan 2025
https://github.com/blacksujit/sentiment-analysis
This project is a sentiment analysis model built to classify IMDB movie reviews as either positive or negative using the **IMDB dataset**. It uses various machine learning models and deep learning techniques to handle the text data.
challenge deep-learning deep-neural-networks lstm-neural-networks model-accuracy nlp nlp-datasets nlp-machine-learning polarity-integration proficient rqs score sentiment-analysis sentiment-classification
Last synced: 01 Dec 2024
https://github.com/faraasat/deeplearningai_deep_learning_specialization
Deeplearning.ai Deep Learning Specialization
artifiical-intelligence deep-neural-networks machine-learning python tensorflow
Last synced: 21 Nov 2024
https://github.com/rani-sikdar/tensorflow-learning
A comprehensive repository for learning TensorFlow, featuring code examples, projects, and resources. Covers concepts from beginner to advanced, including neural networks, CNNs, RNNs, NLP, and deployment. Ideal for students, developers, and AI enthusiasts.
artificial-neural-networks convolutional-neural-networks deep-learning deep-neural-networks machine-learning pytorch recurrent-neural-networks tensorflow tensorflow-models
Last synced: 25 Nov 2024
https://github.com/vara-co/deep-learning-challenge
Deep Learning Challenge (Module 21)
deep-learning deep-neural-networks deeplearning machine-learning predictions
Last synced: 07 Dec 2024
https://github.com/jkevin2010/deep-learning-and-early-dementia-detection
Development of new interpretable deep learning frameworks for the early detection of Alzheimer's Disease and Related Dementias (ADRD)
alzheimer-disease-prediction chaos-theory deep-neural-networks dementia-detection
Last synced: 15 Dec 2024
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: 21 Jan 2025
https://github.com/shiva16/resume_other
Other activities
cv deep-learning deep-neural-networks machine-learning nlp nlp-machine-learning resume
Last synced: 01 Dec 2024
https://github.com/zara5961/deep-learning-challenge
This project focuses on building and optimizing a deep learning neural network to predict the success of applicants funded by Alphabet Soup Charity.
deep-machine-learning deep-neural-networks python skicit-learn tensorflow
Last synced: 23 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 Nov 2024
https://github.com/sathvik902/master-chef
A Deep Learning model which predicts the Indian Recipe from the ingredients we have in our home.
Last synced: 26 Nov 2024
https://github.com/doktormike/neuralnethack
Automatically exported from code.google.com/p/neuralnethack
backpropagation-learning-algorithm c-plus-plus deep-learning deep-neural-networks deeplearning feedforward-neural-network neural-networks
Last synced: 08 Dec 2024
https://github.com/coreyjs/bike-sharing-neural-network
Part of Udacity's deep learning program. This is a simple neural network to predict bike ridership trends.
deep-learning deep-neural-networks machine-learning machinelearning ml neural-network neural-networks python udacity
Last synced: 22 Dec 2024
https://github.com/coreyjs/dog-breed-classifier
A transfer learning neural network to classify dog breeds.
classification deep-learning deep-neural-networks machine-learning ml
Last synced: 22 Dec 2024
https://github.com/stifler7/rl-for-game-ai
Game Artificial Intelligence with Reinforcement Learning This project provides experience in applying techniques of RL to game artificial intelligence. It shall demonstrate several RL algorithms- specifically Q-learning and deep Q-networks (DQN)- to game environments.
deep-learning deep-neural-networks deep-reinforcement-learning machine-learning
Last synced: 01 Dec 2024
https://github.com/gilbertocunha/lip-hepmetalearning
A repository that applies the Meta-SGD algorithm to High Energy Physics in Signal vs Background classification and studies the applicability of such methods.
deep-neural-networks hep metalearning
Last synced: 02 Dec 2024
https://github.com/gilbertocunha/lhc-vlq-classifier
A Deep Learning Neural Network that classifies Vector Like Quarks from background events using generated collider data
deep-neural-networks monte-carlo-dropout particle-physics quarks
Last synced: 02 Dec 2024
https://github.com/kartikchugh/deepneuralnetworks
A Java library for building, training, and testing deep learning neural networks
deep-learning deep-neural-networks machine-learning neural-network neural-networks
Last synced: 15 Dec 2024
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/tiennhm/artist-style-transfer-cyclegan
Implement Artist Style Transfer using CycleGAN
ai artistic-style-transfer cyclegan deep-learning deep-neural-networks dl gan generative-adversarial-network
Last synced: 29 Nov 2024
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/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/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/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/vidhi1290/cyclegan-implementation-for-image-to-image-translation
🖼️ Our CycleGAN Implementation for Image-to-Image Translation project leverages PyTorch to seamlessly transform images between domains, all without paired examples. With a keen focus on innovation and effectiveness, we've explored CycleGAN's capabilities across various domains. Join us as we delve into the world of image translation technology! 🚀
artificial-intelligence cycle-gan deep-learning deep-neural-networks gan github-config machine-learning numpy pillow python pytorch torchvision unsupervised-learning
Last synced: 08 Dec 2024
https://github.com/rudrakhp/nnfl-term-project
deep-belief-network deep-neural-networks matlab mnist-classification
Last synced: 27 Nov 2024
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/sylvia-ai-lab/dr.-sylvia-s-ai--engineering-lab-codeshare
The code has explanations in YOUTUBE Ph.D.(c) Sylvia's AI & Engineering Lab Series 3 MATLAB — ideal for a quick start..
ai batterydegradation deep-neural-networks matlab
Last synced: 27 Nov 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: 02 Dec 2024
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: 27 Nov 2024
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: 28 Nov 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: 05 Dec 2024
https://github.com/micahondiwa/applied_ai
Deep Learning for Computer Vision: A collection of 6 end-to-end applied AI projects.
computer-vision deep-learning deep-neural-networks deep-reinforcement-learning generative-adversarial-network generative-ai neural-machine-translation neural-network pytorch transformers
Last synced: 09 Dec 2024
https://github.com/tonydeng/machine-learning-examples
Machine Learning Examples
deep-learning deep-neural-networks examples machine-learning neural-network python3 tensorflow
Last synced: 02 Dec 2024
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: 29 Nov 2024
https://github.com/nazir20/gender-classification-using-mfcc-with-lstm-model
Gender classification from audio signals is an important task with various applications, such as speech recognition systems, voice assistants, and speaker verification. This project aims to demonstrate how to use Mel Frequency Cepstral Coefficients as features and a Long Short-Term Memory (LSTM) neural network for gender classification.
audio-processing deep-learning deep-neural-networks gender-classification lstm lstm-neural-networks mfcc mfcc-extractor neural-networks
Last synced: 28 Nov 2024
https://github.com/sovit-123/torch-segment
A deep learning image segmentation library and API on top of PyTorch.
convolutional-neural-networks deep-learning deep-neural-networks fcn imagenet imagesegmentation neural-network pretrained-models pytorch segmentation segmentation-masks segmentation-models unet unet-image-segmentation unet-pytorch
Last synced: 08 Dec 2024