Highlights
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A playbook for effectively prompting post-trained LLMs
Coarse-to-Fine Curriculum Learning
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A list of openly available datasets in (mostly human) electrophysiology.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
modify self-attention model for EEG signal as input and image embedding layer as output
Resources for the paper titled "EEG-GCNN: Augmenting Electroencephalogram-based Neurological Disease Diagnosis using a Domain-guided Graph Convolutional Neural Network". Accepted for publication (w…
Resources for the paper titled "Domain-guided Self-supervision of EEG Data Improves Downstream Classification Performance and Generalizability". Accepted at ML4H Symposium 2021 with an oral spotlight!
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A collection of resources on applications of Transformers in Medical Imaging.
[ICML 2021] Self-supervised pre-training of AI models on ECG data with CLOCS
A public release of TimelineBuilder for building personal digital data timelines.
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
Real-Time Seizure Detection using EEG: A Comprehensive Comparison of Recent Approaches under a Realistic Setting (CHIL 2022)
seizure type classification using TUH dataset
This is the official code of the Representation Shift metric from "Measuring Domain Shift for Deep Learning in Histopathology" by Stacke et al.
[ACL 2024 🔥] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted fo…
[CVPR 2023] Official repository of paper titled "MaPLe: Multi-modal Prompt Learning".
JAMA 2016; 316(22) Replication Study