KlaymenGC

KlaymenGC's Stars

• donnemartin/system-design-primer

  Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

  Language:Python260k6.7k28344.2k

• jacobgil/pytorch-grad-cam

  Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

  Language:Python9.7k433901.5k

• awesome-NeRF/awesome-NeRF

  A curated list of awesome neural radiance fields papers

  Language:TeX6.3k23419594

• itcharge/LeetCode-Py

  ⛽️「算法通关手册」：超详细的「算法与数据结构」基础讲解教程，从零基础开始学习算法知识，850+ 道「LeetCode 题目」详细解析，200 道「大厂面试热门题目」。

  Language:Python4.9k3415899

• mapillary/OpenSfM

  Open source Structure-from-Motion pipeline

  Language:Python3.3k145633840

• leandromoreira/cdn-up-and-running

  CDN Up and Running - Building a CDN from Scratch to Learn about CDN, Nginx, Lua, Prometheus, Grafana, Load balancing, and Containers.

  Language:Lua3.1k334186

• zju3dv/NeuralRecon

  Code for "NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video", CVPR 2021 oral

  Language:Python2k49131291

• autonomousvision/occupancy_networks

  This repository contains the code for the paper "Occupancy Networks - Learning 3D Reconstruction in Function Space"

  Language:Python1.5k33127289

• compphoto/BoostingMonocularDepth

  Language:Python1.5k2958195

• GYee/CV_interviews_Q-A

  CV算法岗知识点及面试问答汇总，主要分为计算机视觉、机器学习、图像处理和 C++基础四大块，一起努力向offers发起冲击！

  1.4k265257

• minitorch/minitorch

  The full minitorch student suite.

  Language:Python1.4k175274

• gaoxiang12/slambook-en

  The English version of 14 lectures on visual SLAM.

  Language:TeX1.4k7442251

• cvg/pixel-perfect-sfm

  Pixel-Perfect Structure-from-Motion with Featuremetric Refinement (ICCV 2021, Best Student Paper Award)

  Language:C++1.3k47106131

• rmokady/CLIP_prefix_caption

  Simple image captioning model

  Language:Jupyter Notebook1.2k778209

• TRI-ML/packnet-sfm

  TRI-ML Monocular Depth Estimation Repository

  Language:Python1.2k56228240

• krrish94/nerf-pytorch

  A PyTorch re-implementation of Neural Radiance Fields

  Language:Python8612331122

• criteo/autofaiss

  Automatically create Faiss knn indices with the most optimal similarity search parameters.

  Language:Python764187771

• matsui528/faiss_tips

  Some useful tips for faiss

  Language:Shell5508546

• sooftware/attentions

  PyTorch implementation of some attentions for Deep Learning Researchers.

  Language:Python4903374

• msaroufim/ml-design-patterns

  Software Architecture for ML engineers

  37011130

• pythonlessons/RL-Bitcoin-trading-bot

  Trying to create Reinforcement Learning powered Bitcoin trading bot

  Language:Python3682726205

• dragonlong/Trending-in-3D-Vision

  An on-going paper list on new trends in 3D vision with deep learning

  32520131

• matsui528/nanopq

  Pure python implementation of product quantization for nearest neighbor search

  Language:Python31641543

• facebookresearch/rlstructures

  RLStructures is a library to facilitate the implementation of new reinforcement learning algorithms. It includes a library, a tutorial, and different RL algorithms provided as examples.

  Language:Python25713112

• griffbr/ODMD

  Object Depth via Motion and Detection Dataset

  Language:Python19351030

• gengshan-y/rigidmask

  Code for "Learning to Segment Rigid Motions from Two Frames". CVPR 2021.

  Language:Python185121518

• muneebaadil/structure-from-motion

  Structure-from-Motion from scratch, using Numpy and OpenCV.

  Language:Python1772533

• TRI-ML/sdflabel

  Official PyTorch implementation of CVPR 2020 oral "Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors"

  Language:Python15920918

• jmfacil/camconvs

  Code for the CVPR paper "CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth"

  Language:Jupyter Notebook1165619

• w2kun/RNW

  This is the official repository for Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark (ICCV 2021).

  Language:Python7851212