Stars
Python programs, usually short, of considerable difficulty, to perfect particular skills.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
EyeBench: Predictive Modeling from Eye Movements in Reading
Code for "Counterfactual Token Generation in Large Language Models", Arxiv 2024.
Glance: Accelerating Diffusion Models with 1 Sample
Release for Improved Denoising Diffusion Probabilistic Models
This repository maintains a collection of important papers on conditional image synthesis with diffusion models (Survey Paper published in TMLR2025)
[Neurips 2025] DiffEye: Diffusion-Based Continuous Eye-Tracking Data Generation Conditioned on Natural Images
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
🌈一个跨平台的划词翻译和OCR软件 | A cross-platform software for text translation and recognition.
Generate Diverse Counterfactual Explanations for any machine learning model.
Awesome Deep Learning for Time-Series Imputation, including an unmissable paper and tool list about applying neural networks to impute incomplete time series containing NaN missing values/data
The official source code of MTSCI: A Conditional Diffusion Model for Consistent Imputation in Incomplete Time Series
MOMENT: A Family of Open Time-series Foundation Models, ICML'24
Kronos: A Foundation Model for the Language of Financial Markets
Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.
The swiss army knife of lossless video/audio editing
EEVR is a Virtual Reality-based Physiological Signal based Emotion Dataset.
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Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"