wlsdnen

langchain

🦜🔗 Build context-aware reasoning applications

gradio

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

chroma

the AI-native open-source embedding database

lit-llama

Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

Bard-API

The unofficial python package that returns response of Google Bard through cookie value.

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

ai-tech-interview

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)

PatchTST

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

mimic3-benchmarks

Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.

fsdl-text-recognizer-2022-labs

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

resnet1d

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

EEG-Conformer

EEG Transformer 2.0. i. Convolutional Transformer for EEG Decoding. ii. Novel visualization - Class Activation Topography.

demo

JupyterLite demo deployed to GitHub Pages 🚀

biobankAccelerometerAnalysis

Extracting meaningful health information from large accelerometer datasets

h-transformer-1d

Implementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning

torch_ecg

Deep learning ECG models implemented using PyTorch

langchain-gradio-template

PPG2ABP

BIOBSS

A package for processing signals recorded using wearable sensors, such as Electrocardiogram (ECG), Photoplethysmogram (PPG), Electrodermal activity (EDA) and 3-axis acceleration (ACC).

TF-1D-2D-ResNetV1-2-SEResNet-ResNeXt-SEResNeXt

Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers: 18, 34, 50, 101, 152] (1D and 2D versions with DEMO for Classification and Regression).

SignalProcessing

vital_sqi

A package for physiological signal quality control

ecg_vit

1D vision transformer (vit) for ecg interpretable classification

PulseDB

E2E-PPG

End-to-End PPG Processing Pipeline for Wearables: From Quality Assessment and Motion Artifacts Removal to HR/HRV Feature Extraction

ridi-decrypt

drm removal script for ridibooks PC (Windows)

deep-learning-from-scratch-4

<밑바닥부터 시작하는 딥러닝 4>

ppg

ppg preprocessing (e.g., ppg> spectrogram, bandpass, moving average)

ppg_diffusion