Name: Anoop Vijayamani Upendran
Type: User
Company: Wichita State University
Bio: Ph.D. Student, School of Computing at Wichita State University. Researching on Responsible, Trustworthy and Fair AI on Biometric applications
Twitter: Anoop31302036
Location: Wichita, Kansas
Blog: hashtaglensman.github.io/anoop
Anoop Vijayamani Upendran's Projects
My professional webpage where I updates about my research on Fair Biometric Systems
Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
Contrastive Language-Image Pretraining
Train neural networks up to 7x faster
Deep Learning Examples
This repository contains implementations and illustrative code to accompany DeepMind publications
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Human in the Loop
Open Source Differentiable Computer Vision Library
Inference code for LLaMA models
PyTorch implementation of MAE https//arxiv.org/abs/2111.06377
The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)
Implementation of papers in 100 lines of code.
Python tutorials
PyTorch implementation of Grad-CAM
A lightweight and flexible framework for Hebbian learning in PyTorch.
Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]
RAD: Reinforcement Learning with Augmented Data
A playbook for systematically maximizing the performance of deep learning models.
Papers and code of Explainable AI esp. w.r.t. Image classificiation