feelgom

feelgom's Stars

• martinus/unordered_dense

  A fast & densely stored hashmap and hashset based on robin-hood backward shift deletion

  Language:C++93175

• martinus/robin-hood-hashing

  Fast & memory efficient hashtable based on robin hood hashing for C++11/14/17/20

  Language:C++1.5k146

• avisingh599/mono-vo

  An OpenCV based implementation of Monocular Visual Odometry

  Language:C++779294

• gitbutlerapp/gitbutler

  The GitButler version control client, backed by Git, powered by Tauri/Rust/Svelte

  Language:Rust13.2k528

• jinhwanlazy/problem-solving

  Language:Roff1

• KiwiTalk/KiwiTalk

  An UNOFFICIAL cross-platform KakaoTalk client written in TypeScript & Rust (SolidJS, tauri)

  Language:Rust67881

• awesome-NeRF/awesome-NeRF

  A curated list of awesome neural radiance fields papers

  Language:TeX6.5k598

• yenchenlin/nerf-pytorch

  A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

  Language:Python5.5k1.1k

• NVlabs/instant-ngp

  Instant neural graphics primitives: lightning fast NeRF and more

  Language:Cuda16k1.9k

• unono915/openCV_Alkkagi

  Language:Python12

• vicoslab/mixed-segdec-net-comind2021

  Official PyTorch implementation for "Mixed supervision for surface-defect detection: from weakly to fully supervised learning"

  Language:Python29189

• fyangneil/pavement-crack-detection

  Language:C++34277

• arthurflor23/surface-crack-detection

  Deep Learning Model for Crack Detection and Segmentation

  Language:Python13958

• amirbar/DETReg

  Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

  Language:Python33446

• dream2globe/CleanCodeInPython

  파이썬 클린코드 내용 정리

  Language:Jupyter Notebook2712

• subinium/Misc-Cheatsheet

  대학원 생활을 하며 사용하는 작고 소중한 코딩팁 (linux 명령어 등)

  Language:Vim script38037

• subinium/kaggle-badge

  Add dynamically generated Kaggle Tier & Medals on your readme.

  20926

• ML4Comm-Netw/Paper-with-Code-of-Wireless-communication-Based-on-DL

  无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

  1.9k646

• Abdelrahman-Taha/LIS-DeepLearning

  Simulation code for "Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning" by Abdelrahman Taha, Muhammad Alrabeiah, and Ahmed Alkhateeb, published in IEEE Access, March 2021.

  Language:MATLAB6339