Pinned Repositories
Face_Pytorch
face recognition algorithms in pytorch framework, including arcface, cosface, sphereface and so on
facerec
Face recognition using Pytorch (Arcface, Cosface, Centerloss)
facerec-cpp
C++ Face Recognition
facerec-ios
iOS Face Recognition
MNIST-to-CSV
Convert original MNIST database from http://yann.lecun.com/exdb/mnist/ into CSV format
mtcnn-opencv
C++ MTCNN inferencing with only OpenCV
NFC-Reader
iOS NFC reader implemented with Swift
opencv-ios
OpenCV with iOS. Face Detection examples. (MTCNN, DNN, HAAR).
pytorch-losses
deep-learning losses playground
Texter
Instant messaging app
egcode's Repositories
egcode/facerec
Face recognition using Pytorch (Arcface, Cosface, Centerloss)
egcode/mtcnn-opencv
C++ MTCNN inferencing with only OpenCV
egcode/opencv-ios
OpenCV with iOS. Face Detection examples. (MTCNN, DNN, HAAR).
egcode/facerec-cpp
C++ Face Recognition
egcode/facerec-ios
iOS Face Recognition
egcode/pytorch-face
egcode/A2OJ-Ladder
A2OJ Ladder checkbox
egcode/algorithms-datastructures-patterns
egcode/betaflight-configurator
Cross platform configuration tool for the Betaflight firmware
egcode/commands
egcode/CoreDataDemo
egcode/cpp-init
egcode/Deep-Video-Inpainting
Official pytorch implementation for "Deep Video Inpainting" (CVPR 2019)
egcode/egcode.github.io
egcode/faceswap-pytorch
egcode/first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
egcode/hdf5_cpp
egcode/interviews
Everything you need to know to get the job.
egcode/ios-helpers
egcode/IOT
egcode/libtorch_playground
egcode/llama.cpp
Port of Facebook's LLaMA model in C/C++
egcode/motion-cosegmentation
Reference code for "Motion-supervised Co-Part Segmentation" paper
egcode/ogarden
egcode/opencv-ios-hdf5-attempt
egcode/passwords
egcode/SWIFT_UI
egcode/SwiftfulLoadingIndicators
A collection of lightweight SwiftUI loading animations.
egcode/SwiftfulUI
A collection of reusable SwiftUI components.
egcode/system-design-primer
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.