https://github.com/jdleesmiller/carnd-cloning

Train a driverless car to drive around a simulated race track using end-to-end deep learning — from camera images to steering commands. This is the code for my 'Zero to Driverless Race Car with Deep Learning' blog post and talk.

car convolutional-neural-networks deep-learning deep-neural-networks driverless inception ipython-notebook

Last synced: 20 Oct 2024

https://github.com/anonym0uswork1221/jaraconverse-transformersbased

This JaraConverse model is a cutting-edge Transformer-based supervised Language Model (LLM) specifically designed for generating Python code snippets.

ai code-generator conversational-ai deep-neural-networks keras keras-nlp large-language-model llm machine-learning optimized python scratch tensoflow transformers transformers-models

Last synced: 10 Oct 2024

https://github.com/kmario23/pytorch-padawan

Exercises, Descriptions, and Visualizations to build intuitions and confidence in working with PyTorch for accelerated Scientific Computing

data-analysis data-science data-visualization deep-learning deep-neural-networks distributed-computing gpu-computing jupyter machine-learning ndarray python python3 pytorch scientific-computing scientific-visualization tensor tensor-processing vectorization vectorized-computation visual-computing

Last synced: 06 Nov 2024

https://github.com/creativeguru97/machinelearning

Learn everything around ML

artificial-neural-networks deep-learning deep-neural-networks deeplearning hand handpose handtracking machinelearning neural-network oreilly oreilly-books pose-estimation posenet posetrack tensorflow tensorflow-experiments tensorflow-models tensorflowjs

Last synced: 12 Oct 2024

https://github.com/victorowinoke/cnn-image-classification-using-fashion-mnist-dataset

There's been much speculation in recent years about neural networks technologies and other deep learning algorithms, primarily because of the popularity of several implementations in the sector utilizing these techniques. Consequently, this hype has yielded several innovative ideas to build open-source libraries and methods to enable the average income tech-savvies to achieve their objective. This research paper aims to examine and illustrate how to use deep learning technologies and algorithms to precisely classify a dataset of fashion images into their respective clothing categories. First, the paper shows the general knowledge of convolutional neural networks (CNN) and the techniques of image classification. Later on, it also discusses the methodology of building a neural network and the simulation process. The results of the neural network simulation are compressively evaluated and discussed.

cnn-classification cnn-keras code deep-neural-networks fashion-classifier fashion-mnist-dataset image-classification python3 report tensorflow tensorflow-models

Last synced: 03 Nov 2024

https://github.com/skalskip/yolov5js-zoo

Repository of pre-trained YOLOv5 models in tensorflow.js format

ai deep-learning deep-neural-networks javascript machine-learning tensorflowjs typescript yolo yolov5

Last synced: 27 Oct 2024

https://github.com/deepmancer/resnet-cifar-classification

A step-by-step implementation of a ResNet-18 model for image classification on the CIFAR-10 dataset

cifar cifar10 cifar10-classification deep-neural-networks from-scratch image-classification pytorch pytorch-implementation resnet resnet-18 step-by-step-guide

Last synced: 02 Nov 2024

https://github.com/bobazooba/shurale

Conversation AI model for open domain dialogs

bitsandbytes cerebras chatgpt deep-learning deep-neural-networks gpt gpt-4 gptq large-language-models llama llama2 llm mistral natural-language-processing nlp openai pytorch torch transformers vicuna

Last synced: 27 Oct 2024

https://github.com/martinuzzifrancesco/neuralbasisexpansions.jl

Julia (Flux) implementation of NBeats

deep-learning deep-neural-networks julia nbeats time-series timeseries timeseries-forecasting

Last synced: 20 Oct 2024

https://github.com/rajspeaks/deep-learning-coursera-specialization-programming-assignments

Presenting all the solved programming assignments of Deep Learning Specialization by Deeplearning.ai (Andrew Ng)

convolutional-neural-networks coursera coursera-assignment coursera-specialization deep-learning deep-neural-networks deeplearning-ai jupyter-notebook neural-network python3 rajdeep-das rajspeaks reccurent-neural-network

Last synced: 30 Oct 2024

https://github.com/justsecret123/human-pose-estimation

A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

computer-vision deep-learning deep-neural-networks human-pose-estimation imageio ipython jupyter-notebook machine-learning matplotlib movenet movenet-lightning numpy opencv pose-estimation python tensorflow tensorflow-hub tutorial tutorials

Last synced: 12 Oct 2024

https://github.com/salamanderxing/mate

🧉 the ultimate deep learning project management and sharing tool

deep-learning deep-neural-networks deeplearning jax machine-learning project-template pytorch pytorch-lightning reproducibility research tensorflow

Last synced: 20 Oct 2024

https://github.com/burakahmet/deeplearning.ai-tensorflow-developer-professional-certificate

Quizzes and assignment submissions for DeepLearning.AI TensorFlow Developer Professional Certificate program

artificial-neural-networks cnn computer-vision convolutional-neural-networks coursera deep-learning deep-neural-networks deeplearning image-classification image-processing keras learning-notes machine-learning natural-language-processing neural-network neural-networks recurrent-neural-networks rnn tensorflow tensorflow-tutorials

Last synced: 10 Oct 2024

https://github.com/avidlearnerinprogress/advanced-machine-learning-labs

Coursework solutions to AML Labs

cnn deep-learning deep-neural-networks tensorflow

Last synced: 11 Oct 2024

https://github.com/antonior92/aliasing-in-cnns

How convolutional neural networks deal with aliasing

aliasing convolutional-neural-networks deep-learning deep-neural-networks signal-processing

Last synced: 31 Oct 2024

https://github.com/ksasi/machine-learning-capstone-project

Machine Learning Capstone Project - Udacity MLND(State Farm Distracted Driver Detection)

cnn-classification computer-vision deep-learning deep-neural-networks keras keras-tensorflow machine-learning-capstone numpy python3 sklearn udacity-mlnd

Last synced: 15 Oct 2024

https://github.com/mohammedyunus009/dnn_acoustic_rec

A acoustic sound or environmental sound recogniser, uses deep neural networks to train on models

deep-learning deep-neural-networks extract-features keras sound sound-processing sound-synthesis soundcloud-api tensorflow

Last synced: 02 Nov 2024

https://github.com/naivehobo/numj

Multithreaded matrix handling library for Java

deep-learning deep-neural-networks deeplearning java machine-learning matrix matrix-calculations matrix-functions matrix-library matrix-multiplication multithreading neural-network neural-networks

Last synced: 29 Oct 2024

https://github.com/miladsade96/diagtomodel

Implementations of Artificial Neural Networks Based on their Diagrams

artificial-intelligence cnn computer-vision convolutional-neural-networks deep-learning deep-neural-networks hacktoberfest2021 keras machine-learning models neural-network python tensorflow

Last synced: 11 Oct 2024

https://github.com/philipperemy/neural-probability-dist-sampler

Training a network to sample from any probability distributions such as exponential distribution.

deep-learning deep-neural-networks probability-distribution sampler statistics tensorflow

Last synced: 29 Oct 2024

https://github.com/czgdp1807/ptrustintervalsood

Probabilistic Trust Intervals For Detecting Out of Distribution Images

aritificial-intelligence deep-learning deep-neural-networks image-classification out-of-distribution-detection

Last synced: 16 Oct 2024

https://github.com/kyegomez/gated-slot-attention

An implementation of the paper: "Gated Slot Attention for Efficient Linear-Time Sequence Modeling" in PyTorch

ai attentions deep-neural-networks deeplearning machinelearnin ml pytorch tensorflow torch torchvision

Last synced: 13 Oct 2024

https://github.com/jacobkahn/cis-700-project

deep-learning deep-neural-networks machine-learning structured-learning

Last synced: 14 Oct 2024

https://github.com/victorbadenas/SimpleOnnxInference

A simple c++ onnx application for inferencing images

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

Last synced: 27 Oct 2024

https://github.com/saransh-cpp/scenenet

Scenery detection using transfer learning. (Frontend)

dart deep-learning deep-neural-networks flutter transfer-learning

Last synced: 22 Oct 2024

https://github.com/atapas/ml-greenroots

ml-greenroots is a Pet project to run ML in the Browser using various libraries and frameworks available. How about a ⭐️?

deep-neural-networks gatsby gatsbyjs machine-learning ml5js netlify react reactjs

Last synced: 14 Oct 2024

https://github.com/mouralisandra/deeplearninglabs

A collection of Deep Learning labs for the INSAT Data Science course.

cnn deep-learning deep-neural-networks dnn embeddings fcnn glove nlp perceptron

Last synced: 27 Oct 2024

https://github.com/ac-alpha/vaes-using-pytorch

Variational Autoencoders trained on MNIST Dataset using PyTorch

deep-learning deep-neural-networks pytorch pytorch-cnn pytorch-implmention vae

Last synced: 12 Oct 2024

https://github.com/wesleylp/dissertation

Dissertation for the degree of M. Sc. in Electrical Engineering.

aedes aedes-aegypti computer-vision deep-learning deep-neural-networks object-detection

Last synced: 29 Oct 2024

https://github.com/gerardocipriano/Cerberus-Dog-Breed-Classification-and-Body-Localization-PyTorch

Cerberus is a PyTorch-based project for classifying dog breeds and localizing specific body parts within images. Our model is capable of recognizing and classifying 3 dog breeds (Toy Poodle, Beagle, Siberian Husky) and localizing 3 specific body parts (eyes, nose, tail) within images.

deep-learning deep-neural-networks python pytorch yolo

Last synced: 01 Aug 2024

https://github.com/blackcipher101/deeplearning

Deep learning notebooks for me by me

cnn-keras deep-neural-networks deeplearning jupyter-notebooks transfer-learning

Last synced: 27 Oct 2024

https://github.com/fork123aniket/text-generation

Implementation of Multi-Layer LSTMs for word-level language modelling in Tensorflow

deep-learning deep-neural-networks lstm lstm-model natural-language-processing nlp tensorflow-tutorials tensorflow2

Last synced: 03 Nov 2024

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

Deep learning to classify if a picture contains a Dog or a Cat using Python, OpenCV, Keras.

deep-learning deep-learning-tutorial deep-neural-networks image-classification keras numpy opencv python python3

Last synced: 11 Oct 2024

https://github.com/hackintoshrao/solving-physics-in-keras

Solving a physics problem using keras

deep-neural-networks keras keras-neural-networks neural-networks physics

Last synced: 26 Oct 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: 02 Nov 2024

https://github.com/justsecret123/twitter-sentiment-analysis

A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

classification data-analysis data-science deep-learning deep-neural-networks docker glove-embeddings kaggle lstm lstm-neural-networks machine-learning natural-language-processing nlp python rnn scikit-learn sentiment-analysis sentiment-classification tensorflow word-embeddings

Last synced: 05 Nov 2024

https://github.com/camara94/convolutional-neural-networks

Implement the foundational layers of CNNs (pooling, convolutions) and stack them properly in a deep network to solve multi-class image classification problems.

cnn-keras deep-neural-networks keras tensorflow

Last synced: 05 Nov 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/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/tallamjr/dnn

Implementations of Deep Neural Networks in Tensorflow 2.x

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

Last synced: 10 Oct 2024

https://github.com/shashi456/deep-learning-research

Summaries of papers on Deep Learning, Natural Language Processing, Computer vision

artificial-intelligence computer-vision deep-learning deep-neural-networks hacktoberfest language-modeling machine-learning natural-language-processing neural-networks nlp research text-summarization

Last synced: 23 Oct 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/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: 12 Oct 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: 12 Oct 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/lucasb-eyer/backprop.jl

Textbook implementation of backprop (from the Jacobian point of view) in Julia.

backpropagation backpropagation-learning-algorithm deep-learning deep-neural-networks exercise-solutions julia julia-language

Last synced: 05 Nov 2024

https://github.com/yoyolicoris/dl_hw1

back propogation

backpropagation classification deep-learning deep-neural-networks regression visualization

Last synced: 28 Oct 2024

https://github.com/yoyolicoris/building-nn-with-numpy

numpy lenet implementation.

convolutional-neural-networks deep-learning deep-neural-networks lenet-mnist mnist-classification numpy-tutorial scipy

Last synced: 28 Oct 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: 29 Oct 2024

https://github.com/yoyololicon/building-nn-with-numpy

numpy lenet implementation.

convolutional-neural-networks deep-learning deep-neural-networks lenet-mnist mnist-classification numpy-tutorial scipy

Last synced: 06 Oct 2024

https://github.com/yoyololicon/dl_hw1

back propogation

backpropagation classification deep-learning deep-neural-networks regression visualization

Last synced: 06 Oct 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: 10 Oct 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: 11 Oct 2024

https://github.com/hritik5102/chatbot-with-deep-learning

Deep learning chatbot

chatbot deep-neural-networks intents nltk python softmax tensorflow tflearn

Last synced: 24 Oct 2024

https://github.com/gitstar-oc/machine-learning

This are the Machine Learning notes by leading AI website named Deeplearning.AI. This notes will help you to be a machine learner from beginner to advanced level. Welcome Everyone!!

deep-learning deep-neural-networks jupyter-notebook machine-learning machine-learning-algorithms matplotlib numpy pandas python scikit-learn supervised-learning tensorflow unsupervised-learning

Last synced: 13 Oct 2024

https://github.com/masasron/deepnet

DeepNet is simple node based cli tool for creating machine learning classifiers you can use on the web.

classifier classifier-training deep-learning deep-neural-networks machine-learning nodejs

Last synced: 13 Oct 2024

https://github.com/kumar-shridhar/mastersinmachinelearningonline

Online Content equivalent to Machine Learning Masters Degree at an University

ai deep-learning deep-learning-tutorial deep-neural-networks deeplearning graduate-course links machine-learning machine-learning-algorithms machinelearning masters-course masters-project masters-thesis mastersdegree neural-networks online

Last synced: 14 Oct 2024

https://github.com/dilumdesilva/daugmentor

DAugmentor: Automating Generative Adversarial Network Tuning for Data Augmentation

data-generation deep-learning deep-neural-networks gan

Last synced: 14 Oct 2024

https://github.com/eren23/nn-architecture-examples

A small collection of basic neural networks for different tasks using pytorch.

deep-neural-networks neural-network neural-network-architectures neural-network-example neural-network-tutorials neural-networks neural-networks-from-scratch pytorch pytorch-implementation

Last synced: 15 Oct 2024

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: 20 Oct 2024

https://github.com/mishig25/adversarial-reprogramming-keras

Keras implementation of Adversarial Reprogramming of Neural Networks

deep-learning deep-neural-networks

Last synced: 27 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: 03 Nov 2024

https://github.com/jonperk318/machine-learning-analysis-of-hyperspectral-data

Using Non-negative Matrix Factorization (NMF) and Variational Autoencoder (VAE) machine learning architectures to analyze spatial and spectral features of hyperspectral cathodoluminescence (CL) spectroscopy images taken from hybrid inorganic-organic perovskite material

data-analysis data-science deep-neural-networks explained-variance hybrid-perovskite hyperspectral-image-classification machine-learning matplotlib nmf non-negative-matrix-factorization python pytorch scikit-learn semi-supervised-learning signal-processing solar-energy spectroscopy unsupervised-learning vae variational-autoencoder

Last synced: 06 Nov 2024

https://github.com/mkashirin/scratches

Scratches is a project, which provides a comprehensive guide to creating deep learning models from scratch using Python and NumPy.

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks from-scratch machine-learning machine-learning-algorithms numpy python

Last synced: 06 Nov 2024

https://github.com/louis030195/xmoto-gym

OpenAi's gym environment for Xmoto game - reinforcement learning research

artificial-intelligence deep-learning deep-neural-networks deeplearning machine-learning machinelearning python reinforcement-learning

Last synced: 06 Nov 2024

https://github.com/sevmardi/generative-adversarial-networks

Personal Experiments in different sorts of GANs

deep-learning deep-neural-networks gans generative-adversarial-network ml python3

Last synced: 06 Nov 2024

https://github.com/rakibhhridoy/ctscanpredictioncovid19-tensorflow

Classifying covid positive and negative cases in ct-scan images. Though the data is not large enough, it can be processed and make prediction from the model. Images are quite similar thus the task became much complicated.

computer-vision covid-19 ctscan deep-learning deep-neural-networks image-classification image-processing keras machine-learning medical-image-analysis neural-network prognosis python

Last synced: 06 Nov 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: 01 Nov 2024

https://github.com/nikhilcodes/draw-anywhere

Not just any simple Digit Recognition. MNIST Digit Recognition got lot more Interesting!

computer-vision cv2 deep-learning deep-neural-networks drawing-app illusion keras-neural-networks opencv opencv-python

Last synced: 30 Oct 2024

https://github.com/vanditg/image_analytics_task_ai_australia

This repository contains solutions or files of my attempt for the AI Austraial task of Image Analytics. The submission language is Python.

blurred-background bounding-boxes computer-vision deep-learning deep-neural-networks face-detection face-quality facial-expression-recognition haarcascade-frontalface

Last synced: 05 Nov 2024

https://github.com/kaleidophon/calm-capybara

Comparing different Neural NLP models for Emoji Prediction.

attention-mechanism convolutional-neural-networks deep-learning deep-neural-networks emojis lstm natural-language-processing nlp

Last synced: 28 Oct 2024

https://github.com/sayannath/linear-app

An ANN model is built and trained and exported to tflite format. Then it is integrated into Android App.

android ann deep-learning deep-neural-networks java keras machine-learning tensorflow tflite

Last synced: 24 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: 13 Oct 2024

https://github.com/agamiko/neural-based-data-augmentation

Improving generalization via style transfer-based data augmentation: Novel regularization method

cnn data-augmentation database deep-learning deep-neural-networks image-classification image-synthesis paper skin-lesions style-transfer

Last synced: 15 Oct 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: 17 Oct 2024

https://github.com/mkturkcan/constellation-web

Website for the Constellation Dataset project.

computer-vision dataset deep-learning deep-neural-networks object-detection pretrained-models traffic urban-data-science urban-planning

Last synced: 05 Nov 2024

https://github.com/lovelybuggies/python_maddpg_sc2le

My internship project in 𝖢𝖠𝖲𝖨𝖠. 🤗

casia deep-neural-networks deep-q-learning game-ai maddpg reinforcement-learning sc2le starcraft-ii

Last synced: 28 Oct 2024

https://github.com/rakibhhridoy/easywaydiveinto-datascience

Data Science is not as easy as it seems at first. The most problem faced by new learner are lack of resource knowledge as well as confusion in using the various resources. I hope this repository will benefit confusion learner.

algorithms algorithms-implemented bayesian-statistics data-science deep-learning deep-neural-networks linear-algebra machine-learning matplotlib multivariate-calculus numpy optimization pandas python scikit-learn scipy seaborn statistics statsmodels tensorflow

Last synced: 06 Nov 2024

https://github.com/rathore25/denoising-by-resnet

Use a ResNet to denoise the noisy images

cifar-10 deep-neural-networks denoising-network residual-networks resnet

Last synced: 02 Nov 2024

https://github.com/rizwanmunawar/covid-19-chest-x_rays-images-multi-class-classification-computer-vision-

Covid-19 chest x_rays images multi-class classification while classes are (COVID, Pneumonia, normal)

convolutional-neural-networks deep-neural-networks deeplearning fine-tuning image-classification multilabel-classification transfer-learning vgg-16

Last synced: 28 Oct 2024

https://github.com/susmitha-26/emotion-based-music-player

Application for recommending music based on your facial expressions using FER 2013 dataset and Spotify api

convolutional-neural-networks css deep-neural-networks haarcascade-frontalface html machine-learning-algorithms mediapipe-face-detection neumorphism opencv python3 spotipy-api visualtesting workflows-and-systems

Last synced: 29 Oct 2024

https://github.com/keyurparalkar/cifar-10

ConvNet implementation for CIFAR-10 dataset using pytorch

convolutional-neural-networks deep-learning deep-neural-networks lenet-architecture pytorch

Last synced: 11 Oct 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: 31 Oct 2024

https://github.com/ayushexploring/lane-detection-traffic-sign-recognition

Lane Detection using OpenCV, Traffic Sign Recognition and Deep Learning Concepts

convolutional-neural-networks deep-neural-networks lane-detection logistic-regression mnist perceptron traffic-sign-classification traffic-sign-recognition

Last synced: 05 Nov 2024

https://github.com/guiferviz/happyml

Machine Learning Python library for academic purposes.

deep-learning deep-neural-networks learning machine-learning machine-learning-algorithms neural-network neural-networks numpy

Last synced: 29 Oct 2024

https://github.com/ondrejbiza/tfset

Interactive Tensorflow training.

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

Last synced: 03 Nov 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: 03 Nov 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: 03 Nov 2024

https://github.com/cyrildever/neural-networks-and-deep-learning-in-golang

Code adaptation of "Neural Networks and Deep Learning" book in Go

deep-learning deep-neural-networks golang neural-networks

Last synced: 13 Oct 2024

https://github.com/ocramz/pytorch-playground

deep-learning deep-neural-networks sequence-models

Last synced: 15 Oct 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: 03 Nov 2024

https://github.com/suhani1209/mobile-gallery-image-classifier

Distinguishes the mobile gallery's images into various sets such as whatsapp documents, nature, cars, screenshots, the machine learns itself and predicts the results with an accuracy of 97.6%

cnn deep-learning deep-neural-networks image-classification object-classification python

Last synced: 06 Nov 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: 13 Oct 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: 12 Oct 2024

https://github.com/louis030195/xmoto_learning

reinforcement learning algorithms for xmoto_gym environment

artificial-intelligence deep-learning deep-neural-networks deeplearning machine-learning machinelearning python reinforcement-learning

Last synced: 06 Nov 2024

https://github.com/tanishqjasoria/deeplearning

Implementation of some Neural Network architecture using Numpy, TensorFlow and Keras.

convolutional-neural-networks deep-learning deep-neural-networks residual-learning tensorflow transfer-learning

Last synced: 05 Nov 2024

https://github.com/lukasturcani/dnn

Implementations of deep network architectures in PyTorch.

cnn cnn-architecture cnn-classification dcgan deep-learning deep-neural-networks deeplearning gan gans image-inpainting neural-network neural-networks progressively-growing-gan

Last synced: 11 Oct 2024

https://github.com/himanshuvnm/generalized-gaussian-radial-basis-function-in-artificial-intelligence-matlab

This is the recent work of my on the importance and application of mathematical function around its Hilbert function theory on artificial intelligence algorithms. The main motivation was the desire of improving the convergence rate and learning rate of various learning algorithms via Generalized Gaussian Radial Basis Function.

activation-functions artificial-intelligence deep-learning deep-neural-networks gaussian-process-regression image-recognition kernel-regression machine-learning-algorithms neural-network reproducing-kernel-hilbert-space support-vector-machine

Last synced: 06 Nov 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/hoanle396/chatbot-api-ai

ai api chat chat-api chatbot cnn-model deep deep-learning deep-neural-networks

Last synced: 27 Oct 2024