High-efficiency floating-point neural network inference operators for mobile, server, and Web

Code for the "Learning to Estimate Two Dense Depths from LiDAR and Event Data" article

Developed and evaluated machine learning and deep learning models for detecting financial fraud.

Defect detection on metal shaft surfaces using Convolutional Neural Network

A classical or convolutional neural network model with adversarial defense protection

Common machine learning algorithm implementations

Developed a deep learning model using TensorFlow and CNN to accurately identify diseases in potato plants, optimizing crop health and yield. The model distinguishes between diseases such as early blight, late blight, and healthy plants from images with precision.

Framework for the reproducible processing of neuroimaging data with deep learning methods

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

Developed a gesture recognition system for Indian Sign Language (ISL) using Convolutional Neural Networks. Designed to bridge communication gaps between the hearing impaired and normal individuals, facilitating effective interaction.

A Deep Learning UCI-Chess Variant Engine written in C++ & Python 🦜

C++ Implementation of PyTorch Tutorials for Everyone

Encoder-Residual-Decoder Underwater Image Enhancement with Frequency Detail Loss and Edge Detection Loss.

A Convolutional Neural Network to predict handwriting ditgit form image by MNIST datasets

Application of deep learning for earth observation.

Convolution Neural Network (CNN) Locational Marginal Price (LMP) forecast of California electricity prices.

Mole Analysis with Deep Adam-optimized Inception Network

Code and utilities for Sign Alphabet Detection.