Machine Learning · GitHub

Experiments with supervised contrastive learning methods with different loss functions

Tensorflow notes

Examine two sentences and determine whether they have the same meaning.

Implementation of the stacked denoising autoencoder in Tensorflow

Image Dehaze, Pytorch, An All-in-One Network for Dehazing, AOD-Net

PyTorch Implementation of the ICCV 2023 paper: Generalized Differentiable RANSAC ($\nabla$-RANSAC).

Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.

Dive into machine learning system, start from reinventing the wheel.

Gaussian process modelling in Python

Code for intrusion detection system (IDS) development using CNN models and transfer learning

Data stream analytics: Implement online learning methods to address concept drift and model drift in data streams using the River library. Code for the paper entitled "PWPAE: An Ensemble Framework for Concept Drift Adaptation in IoT Data Streams" published in IEEE GlobeCom 2021.

DeepLearning.AI TensorFlow Developer Professional Certificate

🍎 One kernel a day keeps high latency away. A hands-on CUDA learning path featuring a rich collection of kernels, from the basics to peak performance, seamlessly integrated as PyTorch C++ extensions.

Serving PyTorch 1.0 Models as a Web Server in C++

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

ML Records in 1110 Lab of BUPT. Some detailed information can be referenced on: https://mathpretty.com/10388.html

This repository is the official implementation of the paper “Flexible Job Shop Scheduling via Dual Attention Network Based Reinforcement Learning”. IEEE Transactions on Neural Networks and Learning Systems, 2023.

Official PyTorch implementation of BeautyGAN (ACM MM 2018)

A Python library for signal decomposition algorithms.

A Tensorflow implementation of CapsNet based on paper Matrix Capsules with EM Routing

A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)

Pytorch code for IEEE TWC paper "Predictive and Adaptive Deep Coding for Wireless Image Transmission in Semantic Communication"

[TPAMI2025&CVPR2024] Official Pytorch Implementation of SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation.