In defence of metric learning for speaker recognition

Pytorch implementation of paper "One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing"

A curated list of awesome Non Fungible Token (NFT, ERC721) frameworks, libraries and software

IIRC: Incremental Implicitly Refined Classification

Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

Mediterranean Machine Learning school tutorials

This is a collection of papers and other resources related to fairness.

Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning, in ICCV 2021

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…

Template for ros packages for duckietown

Implementation of World Models paper

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Code for our WACV paper "Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images"

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

Semantic Segmentation Architectures Implemented in PyTorch

PyTorch implementations of Generative Adversarial Networks.

Brain tumor segmentation for MICCAI 2017 BraTS challenge

🧠 A PyTorch implementation of 'Deep CORAL: Correlation Alignment for Deep Domain Adaptation.', ECCV 2016

Unsupervised Domain Adaptation for 3D Keypoint Estimation via View Consistency

Structured Edge Detection Toolbox

mlpack: a fast, header-only C++ machine learning library

Summaries and notes on Deep Learning research papers

ML/DL meeting group at IIT Kharagpur

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow