Sahil Anchal's Projects
This is the implementation of paper <Additive Margin Softmax for Face Verification>
"Unified Deep Supervised Domain Adaptation and Generalization" (ICCV 2017)
PyTorch implementation of CCSA("Unified Deep Supervised Domain Adaptation and Generalization")
center loss for face recognition
Tensorflow implementation for paper CosFace: Large Margin Cosine Loss for Deep Face Recognition
Torchreid: Deep learning person re-identification in PyTorch.
The implement of layer-wise training denoise autoencoder in pytorch.
Implementation of the Arduino software serial for ESP8266
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Face recognition using Tensorflow
Provides settings for TTN gateways that receive their settings automatically on start.
This repository contains code for my paper "Git Loss for Deep Face Recognition".
Simple Keras implementation of Triplet-Center Loss on the MNIST dataset
kernel linear regression and svm for Creditcard and Tumor data
Spectral embedding using Laplacian Eigenmaps
Implemented Laplacian Eigenmaps
official code for paper "MMA Regularization: Decorrelating Weights of Neural Networks by Maximizing the Minimal Angles"
Implementation of MME
A PyTorch implementation of center loss on MNIST
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Improved LBFGS optimizer in PyTorch.
Pytorch implementation of Center Loss
OpenCL build of pytorch - (in-progress, not useable)
A PyTorch implementation for Unsupervised Domain Adaptation by Backpropagation
Simple examples to introduce PyTorch
label-smooth, amsoftmax, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
PyTorch implementation of DANN