Stars
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A real-time signal processing library for EMG sensors. View the README.md to see raw vs. processed signals!
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
OpenMMLab Pose Estimation Toolbox and Benchmark.
Efficient 3D human pose estimation in video using 2D keypoint trajectories
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
A playbook for systematically maximizing the performance of deep learning models.
Awesome video understanding toolkits based on PaddlePaddle. It supports video data annotation tools, lightweight RGB and skeleton based action recognition model, practical applications for video ta…
The open-source repository for PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment.
Deep Bayesian Active Learning for Preference Modeling in Large Language Models (NeurIPS 2024)
A library with extensible implementations of DPO, KTO, PPO, ORPO, and other human-aware loss functions (HALOs).
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
(ICLR'25) PaPaGei: Open Foundation Models for Optical Physiological Signals
Code for the technical report on the ActiLife counts algorithm.
Automatic extraction of relevant features from time series:
🏋️ Extract generalizable physiological representations from sensor time-series data with self-supervision (code for CHIL 2021, NeurIPS-W 2020 papers)
Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity
[TAI 2023] Contrastive Domain Adaptation for Time-Series via Temporal Mixup
Code for the paper published in Deep Generative Models for Health Workshop at the Neurips 2023.
A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).
Differentiable fast wavelet transforms in PyTorch with GPU support.
Synchrosqueezing, wavelet transforms, and time-frequency analysis in Python
💪 Predict lab-measured cardio fitness (VO2max) through wearables in free-living environments (code for Nature Digital Medicine '22 paper)
Remove motion using PPG and ECG signals (wearable)