Stars
Reactive Light Training Module used in fitness for developing agility and reaction speed.
A multitaper spectral estimation toolbox implemented in Matlab, Python, and R
Face recognition with deep neural networks.
Atlas: End-to-End 3D Scene Reconstruction from Posed Images
Official Pytorch Implementation for "MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation" presenting "MultiDiffusion" (ICML 2023)
Multi-Joint dynamics with Contact. A general purpose physics simulator.
Dynamic Neural Architecture Search Toolkit
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
🦁 Lion, new optimizer discovered by Google Brain using genetic algorithms that is purportedly better than Adam(w), in Pytorch
Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
Code and information for face image quality assessment with SER-FIQ
Motor Imagery-based Brain-Computer Interfaces (MI-BCI) are a promise to revolutionize the way humans interact with machinery or software, performing actions by just thinking about them. Patients su…
A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain
Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoe…
Set of deep learning models for supervised and semi-supervised learning tasks using time series. The models include tasks of multi-class classification, one-class classification, representation lea…
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
Official codebase for the paper "3D Neural Field Generation using Triplane Diffusion"
Multitaper codes translated into Python.
An active learning platform for expert-guided, data efficient discovery of behavior.
Behavioral segmentation of open field in DeepLabCut, or B-SOID ("B-side"), is a pipeline that pairs unsupervised pattern recognition with supervised classification to achieve fast predictions of be…
Code to accompany: https://arxiv.org/abs/2001.08349