A list of tools, papers and code related to Deepfake Detection.

Papers with code for single cell related papers

A list of datasets, tools, papers and code related to Deepfakes.

A repository of awesome Non-Intrusive Load Monitoring(NILM) with code.

MICCAI 2022 Paper with Code

📚「@MaiweiAI」Studying papers in the fields of computer vision, NLP, and machine learning algorithms every week.

A curated list of resources for Low-level Vision Tasks

Command-line Paper Downloader for ArXiv, CVF (CVPR, ICCV, WACV) & ECVA (ECCV)

Dirichlet-Variational Auto-Encoder by PyTorch

A Jax/Stax implementation of the general meta learning paper: Oh, J., Hessel, M., Czarnecki, W.M., Xu, Z., van Hasselt, H.P., Singh, S. and Silver, D., 2020. Discovering reinforcement learning algorithms. Advances in Neural Information Processing Systems, 33.

A comprehensive paper list of Transformer & Attention for Vision Recognition / Foundation Model, including papers, codes, and related websites.

Political Discourse Analysis (PDA) of Political Speech Transcripts using Natural Language Processing (NLP)

Repository for my paper: Deep Multilayer Perceptrons for Dimensional Speech Emotion Recognition

🤖 In this work, we present our approach for the Author Profiling task of PAN 2019. The task is divided into two sub-problems, bot, and gender detection, for two different languages: English and Spanish.

Phase diagrams from the paper "Resolving New Keynesian Anomalies with Wealth in the Utility Function"

PaperEasy = arXiv + code + video + tutorial + Colab/demo

Code and data for the paper "Has the Recession Started?"

Code and data for the paper "Critical Values Robust to P-hacking"

Supplementary material for the paper "Lightweight Multitask Learning for Robust JND Prediction using Latent Space and Reconstructed Frames", IEEE TCSVT, 2024.

Code and data for the paper "u* = √uv: The Full-Employment Rate of Unemployment in the United States"

Code and data for the paper "Beveridgean Unemployment Gap"

A Stacking-Based Model for Non-Invasive Detection of Coronary Heart Disease

Supplementary material for the paper "PERCEPTUAL LEARNED IMAGE COMPRESSION VIA END-TO-END JND-BASED OPTIMIZATION", IEEE ICIP 2024

Code and data for the paper "A Theory of Countercyclical Government Multiplier"

Supplementary material for the paper "MTJND: MULTI-TASK DEEP LEARNING FRAMEWORK FOR IMPROVED JND PREDICTION", IEEE ICIP 2023

We explore the ability of two LLMs -- GPT-4o and Claude Sonnet 3.5 -- to transcribe historical handwritten documents in a tabular format and compare their performance to traditional OCR/HTR systems: EasyOCR, Keras, Pytesseract, and TrOCR.

Code and data for the paper "Aggregate Demand, Idle Time, and Unemployment"

Code and data for the paper "Do Matching Frictions Explain Unemployment? Not in Bad Times"

Code and data for the paper "A Macroeconomic Approach to Optimal Unemployment Insurance: Applications"

Implemented a paper explaining Block Switching in Deep Learning on CIFAR10