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Kshitij Srivastava's Projects

.tmux icon .tmux

🇫🇷 Oh my tmux! My self-contained, pretty & versatile tmux configuration made with ❤️

adahessian icon adahessian

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

aimet icon aimet

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

dfq icon dfq

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

examples icon examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fvcore icon fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

hawq icon hawq

Quantization library for PyTorch. Support low-precision and mixed-precision, with hardware implementation through TVM.

lecun1989-repro icon lecun1989-repro

Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.

met-materials icon met-materials

The projects and the materials that accompany the Metal by Tutorials book.

models icon models

Models and examples built with TensorFlow

nvtop icon nvtop

NVIDIA GPUs htop like monitoring tool

pyhessian icon pyhessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

pytorch-image-models icon pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

rules_cuda icon rules_cuda

Starlark implementation of bazel rules for CUDA.

spconv icon spconv

Spatial Sparse Convolution Library

tensorrt-1 icon tensorrt-1

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

tensorrtx icon tensorrtx

Implementation of popular deep learning networks with TensorRT network definition API

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