Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!

XAI - An eXplainability toolbox for machine learning

NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates @ INTERSPEECH 2022

NU-Wave: A Diffusion Probabilistic Model for Neural Audio Upsampling @ INTERSPEECH 2021

Tensorflow implementation : U-net and FCN with global convolution

The official PyTorch implementation for "Normalized Convolution Upsampling for Refined Optical Flow Estimation"

Code for "Unsharp Mask Guided Filtering, IEEE Transactions on Image Processing, 2021"

PU-Gaussian: Point Cloud Upsampling using 3D Gaussian Representation

DeepLearningで音楽をアップサンプリングします

An implementation of Anime4K in Python.

FastWave is a lightweight diffusion model for general audio super-resolution (any -> 48 kHz). SOTA quality reconstruction metrics with just 1.3 M parameters and ~50 GFLOPs

Code for the 3DV 2022 oral paper "Arbitrary Point Cloud Upsampling with Spherical Mixture of Gaussians"

Many algorithms for imbalanced data support binary and multiclass classification only. This approach is made for mulit-label classification (aka multi-target classification). 🌻

Up-sampling and denoising signals using a deep neural network model

A project on Image Processing, leveraging PyQt5 for a user-friendly GUI and implementing essential operations like Low Pass Filter, Downsampling, Upsampling, Thresholding, and Negative Image Generation. It offers a visually engaging experience while exploring the realm of image processing techniques.

Anime4K batch video upscaler using predefined settings for Nvidia and AMD GPU's.

BEGANSing - Korean SVS + SVC + AudioSR

GPU-accelerated iterative bilateral solver for edge-aware refinement.

Hybrid RecSys, CF-based RecSys, Model-based RecSys, Content-based RecSys, Finding similar items using Jaccard similarity

Codebase for probing VFMs and Feature Upsamplers using Intractive Segmentation.