hashtaglensman

anoop

My professional webpage where I updates about my research on Fair Biometric Systems

AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

awesome-Face_Recognition

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;

CLIP

Contrastive Language-Image Pretraining

composer

Train neural networks up to 7x faster

deconvolution

DeepLearningExamples

Deep Learning Examples

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

handson-ml3

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.

HumanintheLoop

Human in the Loop

hashtaglensman/anoop

My professional webpage where I updates about my research on Fair Biometric Systems

hashtaglensman/AutoAugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

hashtaglensman/awesome-Face_Recognition

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;

hashtaglensman/CLIP

Contrastive Language-Image Pretraining

hashtaglensman/composer

Train neural networks up to 7x faster

hashtaglensman/deconvolution

hashtaglensman/DeepLearningExamples

Deep Learning Examples

hashtaglensman/deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

hashtaglensman/handson-ml3

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.

hashtaglensman/HumanintheLoop

Human in the Loop

hashtaglensman/kornia

Open Source Differentiable Computer Vision Library

hashtaglensman/llama

Inference code for LLaMA models

hashtaglensman/mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

hashtaglensman/NVAE

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

hashtaglensman/Papers-in-100-Lines-of-Code

Implementation of papers in 100 lines of code.

hashtaglensman/Python

Python tutorials

hashtaglensman/pytorch-grad-cam

PyTorch implementation of Grad-CAM

hashtaglensman/pytorch-hebbian

A lightweight and flexible framework for Hebbian learning in PyTorch.

hashtaglensman/pytorch-rl

Tutorials for reinforcement learning in PyTorch and Gym by implementing a few of the popular algorithms. [IN PROGRESS]

hashtaglensman/rad

RAD: Reinforcement Learning with Augmented Data

hashtaglensman/tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

hashtaglensman/Tutorial

hashtaglensman/XAI

Papers and code of Explainable AI esp. w.r.t. Image classificiation