nueral-networks

imxieyi/waifu2x-ios

iOS Core ML implementation of waifu2x

Hsankesara/DeepResearch

This repository is the collection of research papers in Deep learning, computer vision and NLP.

DingKe/pytorch_workplace

Random miniprojects with pytorch.

kibae/onnxruntime-server

ONNX Runtime Server: The ONNX Runtime Server is a server that provides TCP and HTTP/HTTPS REST APIs for ONNX inference.

kmsravindra/ML-AI-experiments

All my experiments with AI and ML

kinhong/OpenLabeler

OpenLabeler is an open source desktop application for annotating objects for AI appplications

suvojit-0x55aa/mixed-precision-pytorch

Training with FP16 weights in PyTorch

DingKe/qrnn

Quasi-recurrent Neural Networks for Keras

offfahad/human-face-sketch-to-real

This system provides the facility to convert roughly hand-drawn humam face sketch image on canvas into a realistic face image by using image generative AI in a real-time.

gorgarp/TorchPass

A PyTorch-based tool for generating realistic password lists using advanced deep learning techniques.

soham2707/Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning

This is a project on "Stock-Market-Analysis-And-Forecasting-Using-Deep-Learning" using Pytorch, python, deep learning, gru, plotly

Devtown-India/Yoga-Pose-Estimation-App

This is a Yoga Pose Estimation App which can be able to detect the yoga pose in real time by using posenet and KNN Classifier. Here the dataset used is custom data set which consists of 3 videos for representing 3 different postures. It is deployed in heroku. One Thing to be noted i.e this will work correctly for all mobile and edge devices.

HabanaAI/SynapseAI_Core

SynapseAI Core is a reference implementation of the SynapseAI API running on Habana Gaudi

Elhamkesh/Breast-Cancer-Scikitlearn

simple tutorial on Machine Learning with Scikitlearn

Abdulk084/Smiles2vec

Proof of the concept implementation of smiles2vec paper

log0div0/testo

End-to-end-tests automation framework

murali1996/time_series_classification_prediction

Different deep learning architectures are implemented for time series classification and prediction purposes.

MohammadAsadolahi/MLP-NN-binary-classifier-for-breast-cancer-classification-in-python

Multilayer Perceptron Neural network for binary classification between two type of breast cancer ("benign" and "malignant" )using Wisconsin Breast Cancer Database

lettier/interactive-simple-linear-regression

A PureScript, browser-based implementation of simple linear regression.

aosama16/Udacity-Deep-Learning-Nanodegree

My Projects Submission to Udacity's Deep Learning Nanodegree Program

AHMEDSANA/Binary-Class-Brain-Tumor-Segmentation-Using-UNET

We segmented the Brain tumor using Brats dataset and as we know it is in 3D format we used the slicing method in which we slice the images in 2D form according to its 3 axis and then giving the model for training then combining waits to segment brain tumor. We used UNET model for our segmentation.

adityajain10/human-detection-using-hog-lbp-neural-networks

The program uses HOG and LBP features to detect human in images. First, use the HOG feature only to detect humans. Next, combine the HOG feature with the LBP feature to form an augmented feature (HOG-LBP) to detect human. A Two-Layer Perceptron (feedforward neural network) will be used to classify the input feature vector into human or no-human.

arjo129/NueralNets

Fortran Based Nueral Networks

ambakick/computer-vision

Where all the state-of-the-art computer vision Algorithms meet

datarocksAmy/MATLAB

Deep Learning using Neural Network Toolbox + Finance Portfolio Selection with MorningStar

ankit-kothari/Credit-Risk-Analysis

Predicting the ability of a borrower to pay back the loan through Traditional Machine Learning Models and comparing to Ensembling Methods

Farida-Hamid/CVND-Image-Captioning-Project

Combine CNN and RNN knowledge to build a network that automatically produces captions when given an input image. Python, PyTorch.

jackaduma/Loss-Function-In-PyTorch

Loss Function in PyTorch

NanoNets/object-detection-sample-nodejs

NanoNets Object Detection API Example for Node.js

OneUpWallStreet/TD-Gammon

Implementation of TD Gammon algorithm by Gerald Tesauro at IBM's Thomas J. Watson Research Center in Python.

ryanmpelletier/pubg_ml

PUBG Machine Learning

KayvanShah1/usc-csci544-applied-nlp-fall23

USC CSCI544 - Applied Natural Language Processing - Fall 2023 - Prof Mohammad Rostami

MetaPeak/DCGAN-keras

Keras implementation of Deep Convolutional Generative Adversarial Networks, code run base on tensorflow or theano

YoungHo-Jo/lotto_number_AI

smruthig/Schizophrenia_Analysis_using_GNN_and_ML

Graph Neural Network and Machine Learning Analysis of Functional Neuroimaging for Understanding Schizophrenia