Yury Parfenov (warpuv)

warpuv

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Yury Parfenov's repositories

libsvm-3.0.extended.wdi

The original LibSVM Python version does not have the interface to computethe value of |w|^2, which can be used for computing the distance of a given sampletowards the hyperplane. We modified the C++ files and corresponding python functions, also re-built the dll file. The modified svm-model object contains the following additional attributes: w_2(|w|^2)+),rho, nSV(no of support vectors for each class), probA, probB. Please refer to readme.wdi file for detailed information.‎

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autograd

Efficiently computes derivatives of numpy code.

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autograd-1

coding an autograd from scratch

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blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

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bolt

Bolt is a deep learning library with high performance and heterogeneous flexibility.

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CNN-Inference-Engine-Quick-View

A quick view of high-performance convolution neural networks (CNNs) inference engines on mobile devices.

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distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

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Dual-Kawase-Blur

Qt implementation of Dual Kawase Blur using OpenGL

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EMA-VFI

[CVPR 2023] Extracting Motion and Appearance via Inter-Frame Attention for Efficient Video Frame Interpolatio

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graftr

graftr: an interactive shell to view and edit PyTorch checkpoints.

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LSQFakeQuantize-PyTorch

FakeQuantize with Learned Step Size(LSQ+) as Observer in PyTorch

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maxas

Assembler for NVIDIA Maxwell architecture

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onnx-modifier

A tool to modify onnx models in a visualization fashion, based on Netron and flask.

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onnx-utils

Utility scripts for editing or modifying onnx models. Utility scripts to summarize onnx model files along with visualization for loop operator body.

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onnx2pytorch

Transform ONNX model to PyTorch representation

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PyTorch_CIFAR10

Pretrained TorchVision models on CIFAR10 dataset (with weights)

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pytorch_compiler_tutorial

Codebase associated with the PyTorch compiler tutorial

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RCAN

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

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Resnet-18_mindspore

Image classification done with Mindspore technology

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TorchIntegral

Integral Neural Networks in PyTorch

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