Machine Learning · GitHub

一种基于神经网络来模拟人手移动鼠标的方法

Rust based framework to train Neural Network

YOLOv8, YOLOv9, YOLOv10, YOLOv11 in Mobile Devices, run different machine learning model inside Android and iOS.

An artificial neural network written in Swift

Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction

Scala Library/REPL for Machine Learning Research

Simple & Intuitive Tensorflow implementation of StyleGAN (CVPR 2019 Oral)

A curated list of papers on adversarial machine learning (adversarial examples and defense methods).

Deep Learning Accelerator (Convolution Neural Networks)

Edgeai TIDL Tools and Examples - This repository contains Tools and example developed for Deep learning runtime (DLRT) offering provided by TI’s edge AI solutions.

Video super resolution implemented in Pytorch

Materials for the "Deep Learning 2" course at HSE AMI

A Bayesian model for compositional single-cell data analysis

A collection of deep learning models implemented in PyTorch

Public GitHub repository

This project is a tensorflow implement of our work, ECM (emotional chatting machine).

Entity Alignment toolkit (EAkit), a lightweight, easy-to-use and highly extensible PyTorch implementation of many entity alignment algorithms.

Source code and dataset of the NeurIPS 2020 paper "Graph Random Neural Network for Semi-Supervised Learning on Graphs"

Code release for "LogME: Practical Assessment of Pre-trained Models for Transfer Learning" (ICML 2021) and Ranking and Tuning Pre-trained Models: A New Paradigm for Exploiting Model Hubs (JMLR 2022)

Here lies all the exercises I implement and share in my website

This is the simplest implementation of Power of Deep Learning for Channel Estimation and Signal Detection in OFDM Systems using keras.

Source code in ebook Machine Learning

A list of Graph Causal Learning materials.