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Code examples in pyTorch and Tensorflow for CS230
A collection of tools for neural compression enthusiasts.
GPU implementation of a fast generalized ANS (asymmetric numeral system) entropy encoder and decoder, with extensions for lossless compression of numerical and other data types in HPC/ML applications.
image registration using Lucas Kanade forward additive method
Official Pytorch Implementation for Weighted Multi-Kernel Prediction Network for Burst Image Super-resolution.
Global Rhythm Style Transfer Without Text Transcriptions
Collection of publicly available IPTV channels from all over the world
Using arch linux distro to build a full cluster system
A curated list of awesome neural radiance fields papers
[CVPR'19, ICLR'20] A Python toolbox for modeling and optimization of photo acquisition & distribution pipelines (camera ISP, compression, forensics, manipulation detection)
A library of GPU kernels for sparse matrix operations.
Fast and differentiable MS-SSIM and SSIM for pytorch.
A Generative Flow for Text-to-Speech via Monotonic Alignment Search
a transductive approach for video object segmentation
Any-Precision Deep Neural Networks (AAAI 2021)
Official Pytorch Implementation of "TResNet: High-Performance GPU-Dedicated Architecture" (WACV 2021)
Differentiable Mask-Matching Network for Video Object Segmentation (ICCV 2019)
Code accompanying the paper Learning Fast and Robust Target Models for Video Object Segmentation
Color BSD68 dataset for image denoising benchmarks
Object detection, 3D detection, and pose estimation using center point detection:
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
Personal Scripts for Overclocking on Nvidia GPUs in Linux
Steps to create a small slurm cluster with GPU enabled nodes