https://github.com/gaurav-van/data_science__machine_learning-projects

Compilation of Data Science and Machine Learning Projects Completed During My Bachelor's Degree

classification data data-science data-science-projects data-visualization deep-learning deep-learning-models deep-learning-projects deep-neural-networks inceptionv3 machine-learning machine-learning-projects python regression streamlit

Last synced: 08 Dec 2024

https://github.com/ahammadmejbah/tensorflow-developers

Welcome to the TensorFlow 90-Day Guide, your comprehensive roadmap to mastering TensorFlow and Neural Networks in just three months! This guide is meticulously structured to take you from a beginner to an advanced practitioner, equipped with the knowledge and hands-on experience to build, train, and deploy sophisticated machine learning models.

data-science data-visualization deep-learning deep-neural-networks deep-reinforcement-learning tensorflow tensorflow-models tensorflow-tutorials

Last synced: 05 Feb 2025

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/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/blackcipher101/deeplearning

Deep learning notebooks for me by me

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

Last synced: 08 Feb 2025

https://github.com/rhazra-003/image_classifier

A MATLAB based model which uses transfer learning to train a deep network that can classify images of flowers into one of 12 species.

alexnet deep-learning deep-neural-networks matlab

Last synced: 25 Jan 2025

https://github.com/ahammadmejbah/ibm-project-07-identify-stop-signs-with-transfer-learning

As part of the machine learning team for a corporation developing self-driving cars, you are working on a new stop sign detection technology. In order to determine if there is a stop sign when the car is on the road, your team proposes to capture snapshots every second, signaling the car to stop when there's a stop sign detected in the image.

algorithms data-science deep-learning deep-neural-networks project

Last synced: 11 Nov 2024

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

Scenery detection using transfer learning. (Frontend)

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

Last synced: 01 Feb 2025

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: 08 Feb 2025

https://github.com/ahammadnafiz/fiztorch

Toy Implementation of PyTorch

algorithms deep-learning deep-neural-networks framework implementation neural-network python python-3 pytorch pytorch-tutorial tensorflow2 torch tutorial

Last synced: 20 Jan 2025

https://github.com/qengineering/peleenet_ssd

PeleeNet SSD for ncnn framework

cpp deep-neural-networks ncnn ncnn-framework pelee pelee-ssd peleenet peleenet-ssd raspberry raspberry-pi raspberry-pi-3 raspberry-pi-4

Last synced: 26 Jan 2025

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: 08 Nov 2024

https://github.com/muntahashams/character-level-lstm-pytorch

In this notebook, I'll construct a character-level LSTM with PyTorch. The network will train character by character on some text, then generate new text character by character. As an example, I will train on Anna Karenina. This model will be able to generate new text based on the text from the book!

artificial-intelligence character-encoding character-level-lstm deep-neural-networks generate-text lstm machine-learning-algorithms pytorch text-generation

Last synced: 13 Jan 2025

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/emalagoli92/od-metrics

Python library for Object Detection metrics.

average-precision bounding-box bounding-boxes coco-api coco-dataset computer-vision deep-learning deep-neural-networks deeplearning iou iou-calculation machinelearning mean-average-precision mean-average-recall metrics neural-networks object-detection object-detection-metrics object-detection-model vision

Last synced: 15 Nov 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: 13 Feb 2025

https://github.com/zsxoff/neural-orthodontic-cephalometry

Convolutional networks detection in cephalometry based on TensorFlow

convolutional-networks deep-learning deep-neural-networks head-profile radiological-images tensorflow

Last synced: 16 Jan 2025

https://github.com/pasaopasen/pasaopasen.github.io

My resume, моё основное резюме

ansible bash code-acceleration compose cython data-science deep-neural-networks docker evolutionary-computation jenkins linux machine-learning mathematics python resume telegram winforms

Last synced: 26 Jan 2025

https://github.com/masoudnick/white-blood-cells-classification

White Blood Cells Classification Using Transfer Learning Technique

classification dataset deep-neural-networks inceptionv3 kaggle-dataset medical-image-processing medical-imaging transfer-learning white-blood-cells

Last synced: 06 Feb 2025

https://github.com/yzhuoning/stagewisesgd

Stagewise training accelerates convergence of testing error over sgd

deep-neural-networks generalization-error optimization sgd

Last synced: 05 Jan 2025

https://github.com/garethjns/msimodels

Exploring multi-sensory integration and decision making in biologically inspired deep neural networks.

audiodag brain decision-making deep-neural-networks event-detection keras-neural-networks lstm matlab multi-modal multisensory-processing psychophysics

Last synced: 09 Nov 2024

https://github.com/ata-turhan/optimized-cnn-ta

It is a Jupyter notebook that compares different trading strategies using technical analysis, machine learning, and deep learning methods.

algorithmic-trading deep-neural-networks financial-engineering financial-machine-learning technical-analysis

Last synced: 23 Dec 2024

https://github.com/pegah-ardehkhani/brain-mri-segmentation

U-Net from Scratch for Brain Tumor Segmentation

ai-for-medical-diagnosis brain-imaging brain-mri brain-mri-images deep-learning deep-neural-networks dice-coefficient healthcare-imaging iou medical-image-processing medical-imaging mri mri-brain mri-brain-segmentation mri-images python segmentation tensorflow u-net u-net-keras

Last synced: 07 Jan 2025

https://github.com/camara94/reseau-neurone-tensorflow-2

TensorFlow est une bibliothèque open source de Machine Learning, créée par Google, permettant de développer et d’exécuter des applications de Machine Learning et de Deep Learning

algorithms-and-data-structures deep-learning deep-neural-networks machine-learning python3 tensorflow2

Last synced: 23 Dec 2024

https://github.com/rhazra-003/dead_or_alive

A MATLAB based model which uses transfer learning to train a deep network that can detect if a roundworm is dead or alive by processing microscoping image.

alexnet-model deep-learning deep-neural-networks matlab matlab-image-processing-toolbox

Last synced: 25 Jan 2025

https://github.com/andythefactory/fakenewsdataset

a consolidated and cleaned up fake news dataset classified in the following categories: reliable, unreliable, political, bias, fake, conspiracy, rumor clickbait, junk science, satire, hate

datasets deep-learning deep-neural-networks disinformation fake-news fake-news-analysis fake-news-articles fake-news-challenge fake-news-classification fake-news-dataset fake-news-detection misinformation

Last synced: 27 Dec 2024

https://github.com/justsecret123/one-piece-image-classifier

A quick image classifier trained with manually selected One Piece images.

batch-normalization classification classification-model computer-vision convolutional-neural-networks data-augmentation deep-learning deep-neural-networks docker early-stopping image-classification image-classifier jupyterlab keras machine-learning notebook python tensorflow tensorflow-serving transfer-learning

Last synced: 23 Dec 2024

https://github.com/justanhduc/neuralnet

A high level framework for general purpose neural networks in Theano.

convolutional-neural-networks deep-learning deep-neural-networks neural-network python2 theano

Last synced: 22 Dec 2024

https://github.com/ashwinpn/reinforcement-learning

Research and implementations of Deep Learning / Reinforcement Learning agents and their implementations / applications

deep-learning deep-learning-framework deep-neural-networks deep-reinforcement-learning machine-learning machine-learning-algorithms machinelearning reinforcement reinforcement-learning reinforcement-learning-agent reinforcement-learning-algorithms reinforcement-learning-environments rl

Last synced: 16 Jan 2025

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: 05 Feb 2025

https://github.com/amazon-science/mada_optimizer_search

Code the ICML 2024 paper: "MADA: Meta-Adaptive Optimizers through hyper-gradient Descent"

adam-optimizer deep-neural-networks gpt-2 large-language-models machine-learning machine-learning-algorithms meta-optimizer optimization optimization-algorithms

Last synced: 12 Nov 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: 08 Feb 2025

https://github.com/hsprcode/audio-signal-classification-using-convolutional-neural-networks

Extracted features and classified GTZAN Dataset via deep neural networks with reduced number of parameters and achieved a maximum of 81.62% classification accuracy using 1D-CNN.

audio-analysis audio-processing convolutional-neural-networks deep-neural-networks musicgenre python

Last synced: 10 Feb 2025

https://github.com/vidhi1290/image-inpainting

🎨 Restore images flawlessly with our Image Inpainting Showcase! Using Convolutional Neural Networks, we revive corrupted parts. Explore code, models, and innovation for visual perfection. Join the AI journey of artistry and magic! 🖼️🔮 #ImageInpainting

artificial-intelligence artificial-neural-networks cifar10 computer-vision datascience datavisualization deep-learning deep-neural-networks humanfacedetection image-inpainting kaggle lfw-dataset machine-learning machine-learning-algorithms mnist-handwriting-recognition neural-networks python

Last synced: 02 Feb 2025

https://github.com/daelsepara/deeplearningjs

AngularJS (1.7.x) implementation of the DeepNeuralNetworkClassifier project

angularjs deep-learning deep-neural-networks

Last synced: 29 Dec 2024

https://github.com/vyomshm/image-classification-project

A convolution neural net to classify images from the CIFAR-10 dataset consisting of 60,000 images

convolutional-neural-networks deep-learning deep-neural-networks image-classification machine-learning

Last synced: 27 Jan 2025

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: 09 Feb 2025

https://github.com/neelsoumya/butterfly_detector

Basic tutorials and code for teaching deep learning and machine learning

data-science deep deep-learning deep-learning-tutorial deep-neural-networks ethical-artificial-intelligence learning machine-learning neural-networks open open-data-science outreach outreach-activities public-outreach statistical-learning teaching teaching-materials teaching-resources tutorial tutorials

Last synced: 08 Jan 2025

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: 06 Jan 2025

https://github.com/librauee/squirtle

To get the material of squirtle, which is one of the most famous emoticon. 通过机器学习的方法获取全网最全的杰尼龟表情包素材！

deep-neural-networks emoticon machine-learning

Last synced: 02 Jan 2025

https://github.com/yoyolicoris/DL_HW1

back propogation

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

Last synced: 03 Feb 2025

https://github.com/papapana/face-generation

Face Generation using Generative Adversarial Networks (GANs)

deep-learning deep-neural-networks gan generative-adversarial-network pytorch

Last synced: 13 Jan 2025

https://github.com/harshjuly12/deep-learning-approaches-for-enhanced-breast-cancer-detection

A deep learning project aimed at early detection of breast cancer by classifying tumors as benign or malignant based on features extracted from cell images. The project demonstrates data preprocessing, model training, and evaluation using various deep learning algorithms to achieve high accuracy in predictions.

aiml cnn deep-learning deep-neural-networks

Last synced: 12 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/frankchen121212/RHSNet

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

computational-biology deep-neural-networks motif-discovery

Last synced: 28 Nov 2024

https://github.com/saadsalmanakram/dl-matrix

Understanding Deep Learning Libraries and Architectures in depth...

deep-learning deep-neural-networks keras pytorch tensorflow

Last synced: 14 Feb 2025

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: 25 Dec 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: 18 Jan 2025

https://github.com/pegah-ardehkhani/corona-virus-tweets-sentiment-analysis-and-prediction

Analysis and Prediction of the Corona Virus tweets Sentiment Using Deep Learning Models and Plotly Library

coronavirus covid-19 data-science deep-learning deep-neural-networks lstm machine-learning plotly prediction python sentiment-analysis sentiment-classification tensorflow text text-analysis text-classification tweet tweet-analysis tweets

Last synced: 07 Jan 2025

https://github.com/efecanxrd/lstm-derin-ogrenme-modeli-ile-enerji-tuketimi-tahmini

Derin modelleme için kullanılan paketler TensorFlow ve Keras'tır. Python ile Hollanda'nın ileride kullanabileceği tahmini! enerji tüketimini hesapladık.

deep-learning deep-learning-algorithms deep-neural-networks deeplearning keras plotly python tensorflow

Last synced: 15 Jan 2025

https://github.com/shaheennabi/deep-learning-practices-and-mini-projects

Welcome to Deep Learning & Math with Python! 🚀💥 Here, we blend code and theory to build deep learning algorithms from scratch and explore the math behind them. 🧠⚡ Whether you're just starting or a seasoned pro, this space is all about learning, experimenting, and creating AI magic together! 🔥🎆 Let's code, learn, and innovate!

activation-functions backpropagation calculus deep-learning deep-neural-networks linear-algebra maths-behind-neural-network opencv pytorch tensorflow

Last synced: 14 Jan 2025

https://github.com/qengineering/squeezenet-ncnn

SqueezeNet for ncnn framework

cpp deep-neural-networks ncnn ncnn-framework ncnn-squeezenet raspberry raspberry-pi raspberry-pi-3 raspberry-pi-4 squeezenet

Last synced: 26 Jan 2025

https://github.com/saadsalmanakram/rnn-quest

Understanding the architecture behind Recurrent Neural Networks and its types

deep-learning deep-neural-networks recurrent-networks recurrent-neural-network recurrent-neural-networks

Last synced: 14 Feb 2025

https://github.com/akashmodak97/genre-detection-of-bengali-songs-based-on-audio-data

Genre Detection of Bengali Rabindranath Tagore's Song Based On Audio Data.

bengali-songs deep-learning deep-neural-networks feature-extraction genre-classification keras-tensorflow librosa lstm mfcc-features music-classification neural-network python3 song-genre tensorflow2

Last synced: 15 Nov 2024

https://github.com/lamsut/adversarial-robustness-of-cnn

Research on adversarial machine learning

adversarial-attacks adversarial-training cifar-10 deep-neural-networks

Last synced: 07 Jan 2025

https://github.com/sergio11/brain_tumor_classification_cnn

🧠🚀 AI-Powered Brain Tumor Classification: Leveraging Deep Learning with CNNs and Transfer Learning to classify brain tumors from MRI scans, enabling fast and accurate diagnostics. 🌐⚡

artificial-intelligence brain-tumor-classification convolutional-neural-networks convolutional-neural-networks-cnn dataset deep-learning deep-neural-networks healthcare-ai image-classification keras machine-learning medical-imaging mri-scans neural-networks python tensorflow transfer-learning transfer-learning-with-cnn

Last synced: 07 Feb 2025

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

Deep learning chatbot

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

Last synced: 06 Feb 2025

https://github.com/joshua-dias-barreto/cifar10-using-cnns

A Convolutional Neural Network ( CNN ) is designed and trained to identify whether an image is an airplane, car, bird, cat, deer, dog, frog, horse, ship or a truck

cifar10 cnn-keras colab-notebooks deep-neural-networks machine-learning tensorflow visualization

Last synced: 11 Jan 2025

https://github.com/wahidpanda/kideny-stone-detection-ml

deep-neural-networks kidney kidney-disease kidney-disease-prediction machine-learning

Last synced: 21 Jan 2025

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: 09 Feb 2025

https://github.com/wwwwwydev/pen-stroke-segmentation

基于深度学习中全卷积网络的字体笔划分割（汉字笔画分割）解决方案 A Solution for Font Stroke Segmentation (Stroke Segmentation) Based on Fully Convolutional Networks in Deep Learning

deep-learning deep-neural-networks pen-strokes python pytorch

Last synced: 11 Jan 2025

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

Keras implementation of Adversarial Reprogramming of Neural Networks

deep-learning deep-neural-networks

Last synced: 07 Feb 2025

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: 13 Feb 2025

https://github.com/pavansomisetty21/diabetes-prediction-using-dnnclassifier

we predict diabetes using DNNClassifier

architecture classification classification-algorithm classifier deep-learning deep-neural-networks diabetes diabetes-prediction diabetics dnnclassifier prediction

Last synced: 09 Jan 2025

https://github.com/abhisaphire/style-transfer-dnn

Apply Style of one image onto another image using VGG19 Deep Neural Network in PyTorch

abhisaphire cnn colab-notebook deep-neural-networks dnn pytorch pytorch-implementation research-paper research-paper-implementation style-transfer style-transfer-algorithms vgg19

Last synced: 10 Jan 2025

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.

cnn cnn-classification cnn-keras 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: 25 Dec 2024

https://github.com/ahammadmejbah/supplemental-materials-for-deep-learning-and-ai-specialization-course

The Deep Learning and AI Specialization course offered by aiQuest Intelligence provides a comprehensive program designed to teach cutting-edge artificial intelligence, neural networks, and deep learning techniques. This course is aimed at equipping you with the skills needed to tackle real-world AI challenges.

deep deep-learning deep-learning-algorithms deep-neural-networks deep-reinforcement-learning deeplearning-ai

Last synced: 09 Jan 2025

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: 09 Feb 2025

https://github.com/subhangisati/classification-of-venomous-and-non-venomous-snakes

This repository consists of classification of snakes species. It shows the whole progress and model used to achieve final accuracy. The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet. The final accuracy was achieved using transfer learning with model MobileNetV2

binary-image-classification classification cnn-classification cnn-keras computer-vision convolutional-neural-network cv2 data-science deep-neural-networks keras-tensorflow matplotlib mobilenetv2 neural-network numpy-library pandas-dataframe tensorflow transfer-learning

Last synced: 01 Jan 2025

https://github.com/ahmedshahriar/housing-price-prediction

Data science project on Housing Prices Dataset regression analysis

decision-tree-regression deep-neural-networks gradient-boosting house-price-prediction housing-prices keras knn-regression lasso-regression lgbmregressor matplotlib pandas randomforestregressor regression ridge-regression scikit-learn scipy tensorflow xgboost-regression

Last synced: 17 Jan 2025

https://github.com/deniztemur00/my-deep-learning-notebooks

My machine learning notebooks. Feel free to use for your purposes.

colab-notebook convolutional-neural-networks deep-learning deep-neural-networks image-segmentation isic-challenge keras-neural-networks keras-tensorflow medical-imaging python segmentation-models

Last synced: 08 Feb 2025

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: 17 Jan 2025

https://github.com/furk4neg3/inception_v1-googlenet

Replication of Going Deeper with Convolutions paper using TensorFlow, with one example of how to use it. This model is mainly used for image classification problems.

artificial-intelligence computer-vision deep-learning deep-neural-networks image-classification machine-learning tensorflow

Last synced: 13 Jan 2025

https://github.com/subhangisati/identification-of-gemstone-using-mobilenetv2-and-transfer-learning

The project focuses on Identification of various Gemstone. The dataset consists of 87 classes.It shows the whole progress and model used to achieve final accuracy. You will gain knowledge of Computer Vision, The model used are CNN(Convolutional Neural Network), MobileNetV2 and VGGNet,The final model used was transfer learning with model MobileNetV2

artificial-intelligence classification computer-vision convolutional-neural-networks cv2-library data-science deep-learning deep-neural-networks keras-neural-networks keras-tensorflow machine-learning multiclass-image-classification numpy-library pandas-dataframe python scikit-learn seaborn-python tensorflow

Last synced: 01 Jan 2025

https://github.com/harshal306/chest_xray_disease_detection

Helps in predicting the Pneumonia by the convolutional neural network over the images of chest x rays.

cnn-classification deep-neural-networks python tensorflow-models

Last synced: 12 Jan 2025

https://github.com/raulmurillo/annsim_22

Code for reproducing ANNSIM 2022 results

deep-neural-networks floating-point physics-simulation posit simulation

Last synced: 10 Feb 2025

https://github.com/sreeeswaran/nst-for-artistic-image-creation

This project focuses on Neural Style Transfer (NST), a technique that applies the style of one image to the content of another image, creating a new, stylized image. NST leverages deep learning models, particularly Convolutional Neural Networks (CNNs), to extract and combine the content and style features of images.

artificial-intelligence artificial-neural-networks cnn cnn-model convolutional-neural-networks deep-learning deep-neural-networks image-generation machine-learning models neural-networks neural-style-transfer nst

Last synced: 22 Jan 2025

https://github.com/ue2020/divinenn

A deep-learning chess engine written in Rust, partially compliant with the UCI protocol. DivineNN uses the Monte Carlo Tree Search (MCTS) algorithm to enhance the neural network policy using the neural network's value output.

ai chess deep-learning deep-neural-networks machine-learning monte-carlo-tree-search search-algorithm

Last synced: 27 Dec 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/zenitsu0509/projects

This Repo contains my projects that I have worked on so far.

deep-neural-networks machine-learning

Last synced: 22 Jan 2025

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: 03 Feb 2025

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: 23 Jan 2025

https://github.com/abhineet123/deep_mdp

Deep MDP: A Modular Framework for Multi-Object Tracking

deep-learning deep-neural-networks markov-decision-processes multi-object-tracking object-tracker object-tracking siamese-network siamese-neural-network siamese-tracker tracking

Last synced: 21 Jan 2025

https://github.com/celvoxes/tcc

Can Cells Talk?

deep-neural-networks enrichment-analysis gene-network gpt-2

Last synced: 15 Jan 2025

https://github.com/dilumdesilva/daugmentor

DAugmentor: Automating Generative Adversarial Network Tuning for Data Augmentation

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

Last synced: 28 Jan 2025

https://github.com/karanchawla/deeplearningspecialization-coursera

Deep Learning Specialization by Andrew Ng on Coursera

coursera deep-learning deep-neural-networks machine-learning neural-networks

Last synced: 28 Nov 2024

https://github.com/unipr-org/deep-neural-network

Deep Neural Network Library: A flexible C++ library for building, training, and using deep neural networks. Modular, easy-to-use, and high-performance.

artificial-intelligence artificial-neural-networks cpp deep-neural-networks machine-learning

Last synced: 06 Feb 2025

https://github.com/mohitmishra786/ml-and-dl

This repository gives beginners and newcomers in the field of AI and ML a chance to understand the inner workings of popular learning algorithms by presenting them with a simple way to analyze the implementation of ML and DL algorithms in pure python using only numpy as a backend for linear algebraic computations.

artificial-intelligence artificial-neural-networks basic coding deep-learning deep-neural-networks machine-learning machine-learning-algorithms machine-learning-practice machine-learning-projects ml ml-project mlops python python3 pytorch pytorch-implementation tensorflow

Last synced: 21 Nov 2024

https://github.com/johnsutor/emoji-painter

Paint with emojis.

accelerate deep-learning deep-neural-networks image-generation pytorch

Last synced: 28 Jan 2025

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: 22 Dec 2024

https://github.com/sque/mynn

Playground for Neural Networks

deep-neural-networks machine-learning python python3

Last synced: 20 Jan 2025

https://github.com/harshuljain13/cs231n-deeplearning

stanford's cs231n course

cs231n deep-learning deep-neural-networks stanford

Last synced: 30 Dec 2024

https://github.com/vyomshm/sentiment-rnn

Sentiment analysis using a recurrent neural network

deep-neural-networks recurrent-neural-networks rnn-tensorflow sentiment-analysis tensorflow

Last synced: 29 Nov 2024

https://github.com/narasimha1997/sento---online-sentiment-analysis-tool

Sento is a free online sentiment analysis tool .

deep-learning deep-neural-networks javascript natural-language-processing reactjs tensorflow-js webapp webpack

Last synced: 27 Dec 2024

https://github.com/coding-enthusiast9857/automatic_text_generation

Welcome to the repository, where innovation meets language! This repository is a comprehensive collection of tools, models, and resources dedicated to the exciting field of automatic text generation. Whether you're a researcher, developer, or enthusiast, this repository provides a playground for exploring cutting-edge technology.

ai ann cnn deep-learning deep-neural-networks gru keras lstm ml neural-networks nlp numpy python rnn tensorflow tensorflow2 text-processing

Last synced: 14 Jan 2025

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: 07 Feb 2025

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: 07 Nov 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: 15 Jan 2025

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: 10 Feb 2025

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