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/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/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: 13 Dec 2024

https://github.com/sarthak-1408/indian-food-classification

This Repo Represents Indian Food Classification and with the help of this project you can easily identify the Indian food

classification-model deep-learning deep-neural-networks flask flask-application image-classification keras-neural-networks keras-tensorflow tensorflow

Last synced: 16 Nov 2024

https://github.com/ayushverma135/whisper-hindi-asr-model-iit-bombay-internship

The Whisper Hindi ASR (Automatic Speech Recognition) model utilizes the KathBath dataset, a comprehensive collection of speech samples in Hindi. Trained on this dataset, Whisper employs advanced deep learning techniques to accurately transcribe spoken Hindi into text.

dataset deep-learning deep-neural-networks googlecollab machine-learning neural-networks python3 transcribing

Last synced: 01 Jan 2025

https://github.com/ranpy13/portrait-blur-bokeh

Attempt to recreate the DSLR like portrait bokeh blur effect on any normal image using deep learning, resnet and unet.

bokeh deep-neural-networks opencv resnet unet-image-segmentation

Last synced: 11 Nov 2024

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/hackintoshrao/solving-physics-in-keras

Solving a physics problem using keras

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

Last synced: 14 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/harshuljain13/cs231n-deeplearning

stanford's cs231n course

cs231n deep-learning deep-neural-networks stanford

Last synced: 30 Dec 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/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/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/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: 10 Dec 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/papapana/face-generation

Face Generation using Generative Adversarial Networks (GANs)

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

Last synced: 14 Nov 2024

https://github.com/thecoderpinar/hms-brainactivity-analysiss

Welcome to the GitHub repo for "HMS - EEG Exploration & Neurocritical Care Journey"! Explore EEG data, understand wave patterns, and delve into conditions like LPDs, GPDs, LRDA, and GRDA.

critical-care data-analysis data-science data-visualization deep-neural-networks eeg eeg-signals exploratory-data-analysis healthcare medical-research neuroscience signal-processing

Last synced: 16 Dec 2024

https://github.com/pegah-ardehkhani/cnn-from-scratch

"CNN" from Scratch

cnn data-science deep-learning deep-neural-networks from-scratch from-scratch-in-python machine-learning python

Last synced: 07 Jan 2025

https://github.com/pegah-ardehkhani/speech-emotion-recognition

Emotion Recognition Using Audio Speech Files

audio audio-emotion-detection audio-processing cnn data-science deep-learning deep-neural-networks emotion-detection emotion-recognition feature-extraction machine-learning python

Last synced: 07 Jan 2025

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/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: 11 Nov 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/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/dilumdesilva/daugmentor

DAugmentor: Automating Generative Adversarial Network Tuning for Data Augmentation

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

Last synced: 30 Nov 2024

https://github.com/saeed-dev2/saeed-dev2

Config files for my GitHub profile.

assembly-language c config deep-learning deep-neural-networks devloper embedded-systems github-config machine-learning networking programming-language python reinforcement-learning vhdl-code vlsi-testing

Last synced: 03 Dec 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/mishig25/adversarial-reprogramming-keras

Keras implementation of Adversarial Reprogramming of Neural Networks

deep-learning deep-neural-networks

Last synced: 14 Dec 2024

https://github.com/marx-wrld/mnist-character-recognition

Digital classification and Character Recognition using Tensorflow and the MNIST dataset

deep-neural-networks mnist-dataset tensorflow

Last synced: 13 Nov 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: 22 Dec 2024

https://github.com/midusi/freestyle_generator

Generador de freestyle basado en batallas de RAP

deep-learning deep-neural-networks freestyle nlp text-generation text-generation-using-rnn

Last synced: 20 Nov 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: 08 Dec 2024

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/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: 12 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: 07 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/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: 28 Nov 2024

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: 13 Dec 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 Nov 2024

https://github.com/rakshit-shetty/pothole-detection

A pothole detection DL algorithm using Yolo v2 and Tensorflow

deep-neural-networks pothole-detection tensorflow yolov2

Last synced: 27 Nov 2024

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: 27 Nov 2024

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/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 Nov 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/ahmedshahriar/time-series-projects

Collection of my Time series Analysis Projects

deep-learning deep-neural-networks keras lstm pandas python scikit-learn tensorflow time-series time-series-analysis time-series-classification time-series-forecasting time-series-prediction time-series-regression timeseries

Last synced: 16 Nov 2024

https://github.com/justanhduc/neural-monitor

Monitor neural network training!

computer-vision deep-learning deep-neural-networks monitoring pytorch

Last synced: 02 Jan 2025

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/pegah-ardehkhani/deep-neural-network-from-scratch

"Deep Neural Network" from Scratch

data-science deep-learning deep-neural-networks from-scratch from-scratch-in-python hidden-layers machine-learning neural-network python

Last synced: 07 Jan 2025

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

Deep learning chatbot

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

Last synced: 12 Dec 2024

https://github.com/angelmtenor/aind-deep-learning

Deep Learning and Applications

convolutional-neural-networks deep-neural-networks keras natural-language-processing recurrent-neural-networks

Last synced: 04 Jan 2025

https://github.com/luluw8071/brain-tumor-detection

Brain Tumor Detection using Pytorch

brain-tumor-detection cnn-model deep-neural-networks image-classification pytorch vgg16

Last synced: 12 Nov 2024

https://github.com/wodenwang820118/music_genre_multiclass_classification

The multiclass classification sometimes gets poor results. The repository attempts to use comet_ml to grid search and find the best hyperparameters and concatenate different models for training a better model. The goal is to classify the music genres.

deep-learning deep-neural-networks machine-learning multiclass-classification music-genre-classification

Last synced: 12 Nov 2024

https://github.com/annapoorna-a-k/covid-19-detection-using-cnn

A precise and efficient model capable of early and accurate COVID-19 diagnosis.

bioinformatics cnn covid-19 covid-prediction deep-learning deep-neural-networks neural-network x-ray-images

Last synced: 03 Jan 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: 10 Nov 2024

https://github.com/ondrejbiza/vae

Variational autoencoders implemented in Tensorflow.

deep-learning deep-neural-networks tensorflow variational-autoencoders vq-vae

Last synced: 10 Nov 2024

https://github.com/m0hc3n/happy-or-sad-detection-deep-learning-model

This is a simple deep learning model to detect whether a person is happy or sad.

body-recognition convolutions deep-learning deep-neural-networks face-recognition-opencv

Last synced: 11 Nov 2024

https://github.com/papapana/dog-breed-classification-with-convolutional-neural-networks

Predicting dog breed using convolutional neural networks

convolutional-neural-networks deep-learning deep-neural-networks pytorch

Last synced: 14 Nov 2024

https://github.com/shivamgupta92/imageforgerydetection

Employing Error Level Analysis (ELA) and Edge Detection techniques, this project aims to identify potential image forgery by analyzing discrepancies in error levels and abrupt intensity changes within images.

deep-neural-networks densenet121 error-level-analysis forgery-detection jpeg-compression-technique

Last synced: 12 Nov 2024

https://github.com/augus1999/akane

AsymmetriC AutoeNcodEr (ACANE → AkAne). This model is part of MSc Electrochemistry and Battery Technologies project (2022 - 2023), University of Southampton.

chemistry deep-neural-networks denovo-design graph-neural-networks machine-learning multitask-learning pytorch-implementation transformer

Last synced: 14 Nov 2024

https://github.com/ayberkgezer/car-damage-detection

cnn-classification deep-neural-networks image-classification image-processing python vgg16

Last synced: 22 Dec 2024

https://github.com/ahammadmejbah/understanding-convolutional-layers

Convolutional layers are a type of neural network layer primarily used in deep learning models for processing data that has a grid-like topology, such as images.

deep-learning deep-learning-tutorial deep-neural-networks deep-reinforcement-learning deeplearning

Last synced: 11 Nov 2024

https://github.com/ahammadmejbah/supplemental-materials

Explore AI with resources like 📚 books, 🎧 podcasts, and 🖥️ online courses! Join forums 💬, attend workshops 🛠️, and read journals 📖 to boost your knowledge! 🚀✨🧠

computer-vision data-science data-science-projects data-visualization deep-learning deep-neural-networks machine machine-learning opencv python3

Last synced: 11 Nov 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: 11 Nov 2024

https://github.com/norman-thomas/coursera-deep-learning

My implementation of assignments of the Coursera Deep Learning course and specialization

artificial-intelligence coursera deep-learning deep-neural-networks neural-networks

Last synced: 11 Nov 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: 11 Nov 2024

https://github.com/priyankkalgaonkar/condensenext

An Ultra-Efficient Deep Neural Network for Embedded Systems

artificial-intelligence computer-vision condensenext deep-neural-networks machine-learning pytorch

Last synced: 11 Nov 2024

https://github.com/gsauc3/pytorch-model-details

Package to visualize all the layer parameters of a deep learning model.

cnn-model deep-learning deep-neural-networks model-summary pytorch summary

Last synced: 30 Dec 2024

https://github.com/mashiat12/synthetic_brain_image_generation

Synthetic images generated using deeplearning model (GANs) allows researchers to create realistic, diverse MRI images that can supplement or expand existing datasets without needing additional patient scans.

artificial-intelligence deep-learning deep-neural-networks gan gans generative-adversarial-network generative-ai image-processing imagegeneration machine-learning

Last synced: 30 Nov 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: 30 Dec 2024

https://github.com/linggarm/movie-genre-classification-based-on-synopsis-using-deep-neural-network-and-tf-idf-vectorizer

Movie Genre Classification based on Synopsis using Deep Neural Network and TF-IDF Vectorizer

deep-learning deep-neural-networks machine-learning movie-genre-classification multinomial-naive-bayes nlp python supervised-learning svm text-classification tf-idf

Last synced: 11 Nov 2024

https://github.com/tiskw/gaussian-process-bootstrapping-layer

PyTorch implementation of the Gaussian process bootstrapping layer

artificial-intelligence deep-neural-networks gaussian-processes machine-learning python pytorch

Last synced: 12 Nov 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: 25 Dec 2024

https://github.com/iinjyi/hands-on-neural-networks

A series of hands-on notebooks for beginners in neural networks. [To be updated]

ai cnn computer-science deep-learning deep-neural-networks lstm maths neural-networks python pytorch rnn transfer-learning

Last synced: 30 Dec 2024

https://github.com/pathak-ashutosh/liver-segmentation

Segment liver using unet architecture. This was a project I did for a senior anonymously as his final year project during my undergrad.

biomedical-image-processing computer-vision deep-learning deep-neural-networks machine-learning neural-network segmentation unet-image-segmentation

Last synced: 02 Jan 2025

https://github.com/puyuan1996/rl_mcts_intro

强化学习 (RL) 与蒙特卡洛树搜索 (MCTS) 相关学习资源

artificial-intelligence awesome deep-learning deep-neural-networks deep-reinforcement-learning introduction learning mcts monte-carlo-tree-search ppt reinforcement-learning resources rl search

Last synced: 04 Jan 2025

https://github.com/daelsepara/deeplearningcpp

C++ Implementation of Machine Learning Toolbox (deep neural networks and convolutional neural networks)

convolutional-neural-networks deep-neural-networks machine-learning-toolbox

Last synced: 29 Dec 2024

https://github.com/hongbo-wei/nvidia-fundamentals-of-deep-learning

Deep Learning Institute (DLI)

ai artificial-intelligence artificialintelligence deep-learning deep-neural-networks deeplearning nvidia

Last synced: 14 Nov 2024

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

Welcome to the Deep Learning Projects Repository! This repository is a collection of hands-on projects related to deep learning, covering a wide range of topics and applications.

ai ann cnn cv deep-learning deep-neural-networks dl gan image-processing keras ml nlp python pytorch rnn tensorflow transfer-learning

Last synced: 14 Nov 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 Nov 2024

https://github.com/ani717/anime_face_generation_with_gans

Random Anime Face Generation with Generative Adversarial Networks. DCGAN and WGAN-GP are used.

anime computer-vision convnets convolutional-neural-networks dcgan dcgan-pytorch deep-neural-networks deeplearning gans generative-adversarial-network python pytorch wgan-gp wgan-gp-pytorch

Last synced: 12 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: 25 Dec 2024

https://github.com/rafaykhattak/neural-network-from-scratch

A simple neural network implementation from scratch using only NumPy for numerical computations.

deep-neural-networks image-classification neural-network numpy

Last synced: 13 Nov 2024

https://github.com/rafaykhattak/plagsnipe

By analyzing the linguistic complexity and repetitiveness of the text, PlagSnipe provides accurate insights into the authenticity and originality of written content, helping users identify potential instances of AI-generated text with precision and confidence.

deep-neural-networks gpt2 gpt2tokenizer nltk pytorch transformers

Last synced: 13 Nov 2024

https://github.com/rafaykhattak/llamadoc

Taking advantage of LlamaIndex's in-context learning paradigm, LlamaDoc empowers users to input PDF documents and pose any questions related to the content. The tool leverages the LLama Index's reasoning capabilities to provide intelligent responses based on the contextual understanding of the LLM.

deep-neural-networks gpt3 in-context-learning llama-index llm

Last synced: 13 Nov 2024

https://github.com/irishfix/universalnumerics.net

UniversalNumerics.NET is a versatile .NET package that can be used both in Unity and in normal C# projects. It simplifies common computational tasks, such as computing 2D line intersections, 2D segment intersections, 2D point within queries, 2D triangulation of points, 3D area voxelization and even creating deep neural network models.

artifical-intelligence artificial-neural-networks computational-geometry csharp csharp-library deep-learning deep-neural-networks dotnet mathematics triangulation triangulation-delaunay unity unity3d

Last synced: 13 Nov 2024

https://github.com/karan-malik/restrictedboltzmannmachine

Python3 implementation of the Unsupervised Deep Learning Algorithm, Restricted Boltzmann Machine.

artificial-intelligence artificial-neural-networks boltzmann-machines deep-learning deep-learning-algorithms deep-neural-networks numpy numpy-neural-network python python3 pytorch pytorch-implementation restricted-boltzmann-machine torch unsupervised-deep-learning unsupervised-learning unsupervised-learning-algorithms unsupervised-machine-learning

Last synced: 14 Nov 2024

https://github.com/extwiii/ml-university.of.washington

Build Intelligent Applications - ML - University of Washington - Coursera

classification deep-learning deep-neural-networks machine-learning python regression svm washington-university

Last synced: 29 Nov 2024

https://github.com/arif-miad/titanic-analysis

artificial-intelligence data data-science deep-neural-networks

Last synced: 14 Nov 2024

https://github.com/cloaky233/binary-classifier-cnn

A Convolutional Neural Network (CNN) implementation using PyTorch and TensorFlow/Keras to classify images of cats and dogs. This project includes training scripts, model architectures, and instructions for easy setup and usage.

binaryclassification deep-learning deep-neural-networks pytorch

Last synced: 19 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: 21 Dec 2024

https://github.com/kalthommusa/stop-signs-application

Develop a custom classifier with PyTorch and transfer learning techniques to recognize stop signs, and then deploy it as a web application using Code Engine on IBM cloud.

cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks image-classification image-recognition python pytorch resnet-18 stop-sign-detection transfer-learning

Last synced: 16 Nov 2024

https://github.com/kalthommusa/face-mask-application

Develop a custom classifier with PyTorch and transfer learning techniques to recognize face masks, and then deploy it as a web application using Code Engine on IBM cloud.

cnn-classification cnn-model computer-vision convolutional-neural-networks deep-learning deep-neural-networks face-mask-classification image-classification image-recognition python pytorch resnet-18 transfer-learning

Last synced: 16 Nov 2024

https://github.com/reshalfahsi/neuralnetwork

Implementation of Artificial Neural Network Algorithm

artificial-intelligence artificial-neural-networks deep-learning deep-neural-networks gradient-descent machine-learning medical-image-processing medical-insurance-costs medmnist neural-network newton-method python

Last synced: 15 Nov 2024

https://github.com/clberube/gims

Command line interface for geospatial image segmentation

deep-neural-networks geospatial-analysis segmentation unet

Last synced: 19 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: 17 Dec 2024

https://github.com/jstzwj/traph

An open-source machine learning platform

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

Last synced: 14 Dec 2024

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: 16 Nov 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: 07 Dec 2024

https://github.com/sathyasris27/image-classification-using-dnn-and-cnn

The main aim of this project is to understand and implement deep neural network (DNN) and convolutional neural network (CNN) and see how these can be used for classification problems.

classification convolutional-neural-networks data-science deep-learning deep-neural-networks image-classification python

Last synced: 12 Nov 2024

https://github.com/gokulnpc/iris-detection

This project focuses on iris detection using deep learning techniques. The model architecture combines the power of ResNet152V2, a pre-trained convolutional neural network (CNN), with additional convolutional layers to accurately detect and localize iris regions in images.

convolutional-neural-networks deep-neural-networks iris-detection resnet

Last synced: 07 Dec 2024

https://github.com/gokulnpc/fashion-mnist-gan

This script outlines the implementation of a Generative Adversarial Network (GAN) designed to generate fashion images using the Fashion MNIST dataset. The GAN consists of a generator and a discriminator, which are trained simultaneously in an adversarial manner.

deep-learning deep-neural-networks fashion-mnist generative-adversarial-network

Last synced: 07 Dec 2024