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autograd

Efficiently computes derivatives of numpy code.

autograd-1

coding an autograd from scratch

blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

bolt

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

cnn-inference-engine-quick-view

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

distiller

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

dual-kawase-blur

Qt implementation of Dual Kawase Blur using OpenGL

ema-vfi

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

graftr

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

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.‎

lsqfakequantize-pytorch

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

maxas

Assembler for NVIDIA Maxwell architecture

onnx-modifier

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

onnx-utils

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

onnx2pytorch

Transform ONNX model to PyTorch representation

pytorch_cifar10

Pretrained TorchVision models on CIFAR10 dataset (with weights)

pytorch_compiler_tutorial

Codebase associated with the PyTorch compiler tutorial

rcan

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

resnet-18_mindspore

Image classification done with Mindspore technology

support-vector-machines-succinctly

theorem_proving_in_lean4

torchintegral

Integral Neural Networks in PyTorch