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A Theory and Practical Guide to Deep Learning Semantic Segmentation
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
Complete codebase and datasets for "revisiting oversmoothing in deep gcns"
NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
GPT4All: Chat with Local LLMs on Any Device
🔮 ChatGPT Desktop Application (Mac, Windows and Linux)
A Health Coaching Dataset on Sleep for Extractive Question Answering
https://csstipendrankings.org
The official gpt4free repository | various collection of powerful language models
Transformer based on a variant of attention that is linear complexity in respect to sequence length
Source code for Twitter's Recommendation Algorithm
Source code for Twitter's Recommendation Algorithm
ICLR 2023 paper - ManyDG - Dataset processing and mode codes
Simply calling chatgpt APIs and store chat history in csv
Implementation of Toolformer, Language Models That Can Use Tools, by MetaAI
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
A Deep Learning Python Toolkit for Healthcare Applications.
NeurIPS2022: Code for ATD, Sleep-EDF, HAR,PTB-XL, MGH data processing
Self-supervised contrastive learning for time series via time-frequency consistency
PyTorch implementation of Robust Non-negative Tensor Factorization appearing in N. Dey, et al., "Robust Non-negative Tensor Factorization, Diffeomorphic Motion Correction and Functional Statistics …