coupled dictionary learning for multimodal image super-resolution

ZWO SDK and custom software for debugging and using it.

Using custom CUDA kernels with Open CV Mat objects.

Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

JPEG encoder/decoder written in Python

A Python program that compresses raw images based on the JPEG compression algorithm.

Official PyTorch implementation of SegFormer

A collection of useful .gitignore templates

Build U-Nets for segmentation from pre-trained TorchVision models.

PyTorch U-Net on Cityscapes Dataset

README and scripts for the Cityscapes Dataset

Python implementation of Huffman coding .

Orthogonal Matching Pursuit, parallelized on both CPU and GPU. 100x+ Speedup

Image inpainting based on OMP and KSVD algorithm

K-SVD Denoising Algorithm

Superpixel SLIC for GPU (CUDA)

🖼The python implementation to make superpixels by slic.

K-SVD CUDA implementation for Image Denoising

Class-Incremental Learning: A Survey (TPAMI 2024)

PyCIL: A Python Toolbox for Class-Incremental Learning

An intuitive python GUI to compute the DRT

mixup: Beyond Empirical Risk Minimization

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

Extreme Learning Machine(ELM): Python code

A simple implementation of domain adversarial training with GAN loss in Keras

A Keras framework for Adversarial Domain Adaptation

TensorFlow documentation

Keras implementation for Deep Embedding Clustering (DEC)

A collection of AWESOME things about domain adaptation