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addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

arkit2.0-prototype

benchmark_results

visual tracker benchmark results

deeplearningbook

MIT Deep Learning Book in PDF format

digital_video_introduction

A hands-on introduction to video technology: image, video, codec (av1, vp9, h265) and more (ffmpeg encoding).

eco

Matlab implementation of the ECO tracker.

g2o

g2o: A General Framework for Graph Optimization

gan-compression

[CVPR 2020] GAN Compression: Efficient Architectures for Interactive Conditional GANs

hashnerf-pytorch

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives: https://nvlabs.github.io/instant-ngp/

hierarchical-localization

Visual localization made easy with hloc

image-align

Variants of the classic Lucas-Kanade image alignment algorithm

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

iphone_opencv_test

Test application for iPhone with OpenCV library

iqa-optimization

Comparison of IQA models in Perceptual Optimization

learnopencv

Learn OpenCV : C++ and Python Examples

mcunet

mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

model_search

nao

Neural Architecture Optimization

opencv

OpenCV GitHub Mirror

orb-slam2-mac

pinto_model_zoo

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin]

pytorch-generative-model-collections

Collection of generative models in Pytorch version.

pytorch-progressive_growing_of_gans

PyTorch implementation of Progressive Growing of GANs for Improved Quality, Stability, and Variation.

pytorch_memonger

Experimental ground for optimizing memory of pytorch models

pytorchviz

A small package to create visualizations of PyTorch execution graphs

r2-talker

R2-Talker: Realistic Real-Time Talking Head Synthesis with Hash Grid Landmarks Encoding and Progressive Multilayer Conditioning

r2-talker-code

R2-Talker: Realistic Real-Time Talking Head Synthesis with Hash Grid Landmarks Encoding and Progressive Multilayer Conditioning

real-sr

Real-World Super-Resolution via Kernel Estimation and Noise Injection

repvgg

RepVGG: Making VGG-style ConvNets Great Again