xxsustc

xxsustc's Stars

• tum-pbs/pbdl-book

  Welcome to the Physics-based Deep Learning Book (v0.2)

  Language:Jupyter Notebook976154

• he-y/Awesome-Pruning

  A curated list of neural network pruning resources.

  2.3k328

• KHwang9883/MobileModels

  手机品牌型号汇总 | Mobile Models | This repository is licensed under CC BY-NC-SA 4.0

  2.7k346

• Kenneth-Lee/MySummary

  My Design Philosophy Summary (Most of them are in Chinese)

  Language:Python45297

• Tee0125/yuvplayer

  Raw YUV player which support various YUV format

  Language:C++20399

• ModelTC/MQBench

  Model Quantization Benchmark

  Language:Shell755137

• kenjihiranabe/The-Art-of-Linear-Algebra

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"

  Language:PostScript17.7k2.2k

• quic/aimet

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

  Language:Python2.1k375

• csyhhu/Awesome-Deep-Neural-Network-Compression

  Summary, Code for Deep Neural Network Quantization

  Language:Python52581

• htqin/awesome-model-quantization

  A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.

  1.8k203

• AlexeyAB/darknet

  YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

  Language:C21.7k8k

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python30k7.4k

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.1k9.4k

• PaddlePaddle/PaddleDetection

  Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

  Language:Python12.6k2.9k

• kanition/pbrtbook

  pbrt 中文整合翻译 基于物理的渲染：从理论到实现 Physically Based Rendering: From Theory To Implementation

  Language:TeX1.1k72

• Anduin2017/HowToCook

  程序员在家做饭方法指南。Programmer's guide about how to cook at home (Simplified Chinese only).

  Language:Dockerfile66.5k8.7k

• zetane/viewer

  ML models and internal tensors 3D visualizer

  Language:Python1.1k122

• google-ar/arcore-android-sdk

  ARCore SDK for Android Studio

  Language:C++5k1.2k

• JUGGHM/PENet_ICRA2021

  ICRA 2021 "Towards Precise and Efficient Image Guided Depth Completion"

  Language:Python32145

• victorprad/InfiniTAM

  A Framework for the Volumetric Integration of Depth Images

  Language:C++929351

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python31.6k4.7k

• dwofk/fast-depth

  ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

  Language:Python926189

• sxfduter/monocular-depth-estimation

  24044

• lutzroeder/netron

  Visualizer for neural network, deep learning and machine learning models

  Language:JavaScript27.6k2.7k

• ScanNet/ScanNet

  Language:C1.8k346

• scutan90/DeepLearning-500-questions

  深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

  Language:JavaScript54.3k15.8k

• Tencent/ncnn

  ncnn is a high-performance neural network inference framework optimized for the mobile platform

  Language:C++20.2k4.1k

• nianticlabs/manydepth

  [CVPR 2021] Self-supervised depth estimation from short sequences

  Language:Python61783

• nianticlabs/monodepth2

  [ICCV 2019] Monocular depth estimation from a single image

  Language:Jupyter Notebook4.1k951

• google/dynamic-video-depth

  Code for the SIGGRAPH 2021 paper "Consistent Depth of Moving Objects in Video".

  Language:Python26240