styler00dollar

sudo's repositories

VSGAN-tensorrt-docker

Using VapourSynth with super resolution and interpolation models and speeding them up with TensorRT.

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VapourSynth-RIFE-ncnn-Vulkan

RIFE filter for VapourSynth

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pytorch-loss-functions

A collection of loss functions with easy usage

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Train ESRGAN, DFNet, AdaFill, MEDFE, RFR, LBAM, DMFN, Partial, RN, DSNet, context_encoder, MANet, deepfillv1/2, Adaptive, Pluralistic, EdgeConnect, FRRN, PRVS, CSA, deoldify, GLEAN, srflow, DFDNet, GFPGAN, USRNet and others.

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ComfyUI-sudo-latent-upscale

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ComfyUI-deepcache

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Colab-image-classification

Train classification models

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YOLO-anime-hands

BSD-3-Clause4 2 1

ffmpeg-static-arch-docker

Compiling static ffmpeg with arch docker

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wd-v1-4-tagger-tensorrt-docker

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vs-mlrt

Efficient CPU/GPU ML Runtimes for VapourSynth (with built-in support for waifu2x, DPIR, RealESRGANv2/v3, Real-CUGAN, RIFE, SCUNet and more!)

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aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

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mmcv

OpenMMLab Computer Vision Foundation

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xformers

Hackable and optimized Transformers building blocks, supporting a composable construction.

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BasicSR

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

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bestsource

A super great audio/video source and FFmpeg wrapper

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ffms2

An FFmpeg based source library and Avisynth/VapourSynth plugin for easy frame accurate access

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kohya-trainer

Adapted from https://note.com/kohya_ss/n/nbf7ce8d80f29 for easier cloning

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L-SMASH-Works

Forked from VFR-maniac/L-SMASH-Works; hydra3333/L-SMASH-Works; l33tmeatwad/L-SMASH-Works; HolyWu/L-SMASH-Works; AkarinVS/L-SMASH-Works.

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onnxruntime

ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

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opencv-python

Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-contrib-python-headless packages.

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