zhangliliang

EGVSR

Efficient & Generic Video Super-Resolution

MonoEF

Monocular 3D Object Detection: An Extrinsic Parameter Free Approach

torchstat

Model analyzer in PyTorch

pytorch-OpCounter

Count the MACs / FLOPs of your PyTorch model.

finn-base

Open Source Compiler Framework using ONNX as Frontend and IR

finn

Dataflow compiler for QNN inference on FPGAs

brevitas

Brevitas: neural network quantization in PyTorch

distiller

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

aimet

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

d2go

D2Go is a toolkit for efficient deep learning

onnx-simplifier

Simplify your onnx model

mace

MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.

TNN

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

optimizer

Actively maintained ONNX Optimizer

onnxruntime-extensions

onnxruntime-extensions: A specialized pre- and post- processing library for ONNX Runtime

onnxruntime

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

fast-reid

SOTA Re-identification Methods and Toolbox

PerceptualSimilarity

LPIPS metric. pip install lpips

iSeeBetter

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

mmpretrain

OpenMMLab Pre-training Toolbox and Benchmark

mmdetection3d

OpenMMLab's next-generation platform for general 3D object detection.

RTM3D

The official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection

kinematic3d

DeFCN

End-to-End Object Detection with Fully Convolutional Network

cvpods

All-in-one Toolbox for Computer Vision Research.

OneNet

[ICML2021] What Makes for End-to-End Object Detection

models

Models and examples built with TensorFlow

meshrcnn

code for Mesh R-CNN, ICCV 2019

mmcv

OpenMMLab Computer Vision Foundation