A high performance anime upscaler
-
Updated
Nov 10, 2025 - C++
A high performance anime upscaler
A modern C++ neural network library built from scratch — modular, fast, and designed for experimentation, visualization, and learning
Based on TensorRT v8.2, build network for YOLOv5-v5.0 by myself, speed up YOLOv5-v5.0 inferencing
Nearly complete Implementation of "Perceptual Losses for Real-Time Style Transfer and Super-Resolution" in C++
An open source library for face detection in images. The face detection speed can reach 1000FPS.
noodle is an implementation of the forward pass of CNN layers for Arduino. noodle relies on SD Card and memory-reuse for efficient implementation.
A from-scratch Convolutional Neural Network in C++ OOP.
A neural network lib in C++20 optimized for CPU. Create, train and use a neural network in less than 10 lines of codes.
Convolutional Neural Network for recognizing handwritten digits, built in C++ using Eigen with the purpose of understanding the core of ML and AI. Uses Adam Optimizer and L2 regularization.
Real-time speech recognition using CNN
Deep based Visual SLAM Project(Depth estimation, Optical flow, Visual inertial odometry)
Detect and identify different species of harmful algae within natural water in real-time with AI and a camera (i.e., ESP32-CAM, smartphone, or webcam).
A deep learning framework in C++ similar to PyTorch, originally built for CNNs but now supporting general neural network development.
Ứng dụng phân loại video và hình ảnh Unity
A smart Flutter app for detecting crop diseases using a CNN model deployed via Flask on Render. It verifies images, predicts diseases, and suggests treatments.
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Real-time vehicle classification and counting using Convolutional Neural Networks on microcontrollers.
Add a description, image, and links to the cnn topic page so that developers can more easily learn about it.
To associate your repository with the cnn topic, visit your repo's landing page and select "manage topics."