keue123's Stars
abhijitnathwani/image-processing
Image Processing Codes using C, without the use of any external libraries. The codes in this repository apply traditional image processing algorithms with use of plain C language, which is almost run everywhere.
5hirish/quinine
A Flutter IDE by developers for developers (In Development)
Poppro/MCNE
Minecraft Neural Evolution (Reinforcment learning)
LianjiaTech/flutter_fdb_package
Flutter应用的调试工具,协助采集性能优化、设计走查、QA测试等数据问题 ,提供UI拾取、UI标尺、取色器、内存信息、FPS检测和展示页面代码等功能。
cowboyd/flutterscript
An embeddable interpreter for scripting Flutter applications
mojtaby/Flutter-Visual-Programing
Flutter Visual Programing app builder build app using nodes (Free Open Source)
psrikanthm/cnn-from-scratch
Implement feedforward, convolution neural network in C++ with only built-in libraries. This is a tutorial style project which implements back propagation in neural networks without using external libraries. A 2D Tensor is defined and all the required Linear Algebra operations are defined to perform required computations. Both the networks are tested on mnist dataset which is attached along the project.
euske/nn1
Convolutional Neural Network in C (for educational purposes)
miladabd/DeepC
Implementing Deep Convolutional Neural Network in C without External Libraries for YUV video Super-Resolution
Virv12/DigitRecognition
Handwritten digit recognition implemented in c++ without libraries
mddragnev/k-nearest-neighbors
C++ implementation for machine learning algorithm K-NN
camchambers/artificial-neural-network
A C++ implementation of an Artificial Neural Network (ANN).
SwikarGautam/Transformer
Implementation of vanilla transformer model using numpy.
kripxera1/MNIST-GAN-CPP
A MNIST GAN implemented from scratch in C++
ramixix/Image_processing
image processing on Bitmap images with c without using any third party library
victorhzhao/GAN-with-pure-numpy
GAN with pure numpy and display use Matplotlib
Cagnurt/NumPy-Autoencoder-GAN-MNIST
This repository contains implementations of an Autoencoder NN and a GAN for image generation using the MNIST dataset. The Autoencoder is implemented from scratch using NumPy, while the GAN is implemented using PyTorch. The Autoencoder model reconstructs images from the dataset, and the GAN generates new images resembling handwritten digits.
dsimmmons/DigitRecognition
Machine Learning
VighneshNatarajanGanesh/gan-from-scratch-only-numpy
This repo contains the code and explanation on how to write a GAN from scratch without using any ml libraries. -------------- Focus: GAN
DaniAsh551/ObjectDetectionPOC
This is a VERY simple object detection program developed in pure CSharp with no external libraries as a proof of concept and as a guide for people who want to learn the basic ideas of object detection.