Stars
A regularly updated collection of European tech internships, new graduate roles, and research opportunities. It also contains the code for EarlyCareersEU, an open-source web platform containing a l…
✨✨Latest Papers on AI-Generated Video Detection and Related Areas
Deepfake detection using wavelet-packets in PyTorch, European Conference on Machine Learning (ECML PKDD) 2022.
sample data for Defocus blur estimation in calibrated multi-view images
A Datasette instance for searching WebVid-10M
Let's train vision transformers (ViT) for cifar 10 / cifar 100!
A Graph Neural Network project on HIV data
A comprehensive benchmark of deepfake detection
A resource repository for machine unlearning in large language models
This repository contains Python code for the paper "Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning".
Existing Literature about Machine Unlearning
Library - Vanilla, ViT, DeiT, BERT, GPT
Official Code for 'Recursive Fusion and Deformable Spatiotemporal Attention for Video Compression Artifact Reduction' - ACM Multimedia2021 (ACMMM2021) Accepted Paper Task: Video Quality Enhancement…
This repository contains demos I made with the Transformers library by HuggingFace.
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
The first competitive instance segmentation approach that runs on small edge devices at real-time speeds.
Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/
Demonstration using Google Colab to show how U-2-NET can be used for Background Removal, Changing Backgrounds, Bounding Box Creation, Salient Feature Highlighting and Salient Object Cropping.
This repository will contain the data and codes for WNUT 2020 NER task
Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
Unofficial PyTorch implementation of DeepMind's PNAS 2017 paper "Overcoming Catastrophic Forgetting"
An implementation of EWC with PyTorch
A simple probabilistic programming language.
PyTorch implementation of bayesian neural network [torchbnn]
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!