qinxie's Stars
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
HobbitLong/SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
algorithm-archivists/algorithm-archive
A collaborative book on algorithms
thuml/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Atcold/NYU-DLSP21
NYU Deep Learning Spring 2021
locuslab/convmixer
Implementation of ConvMixer for "Patches Are All You Need? š¤·"
QData/spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."
gzerveas/mvts_transformer
Multivariate Time Series Transformer, public version
bnu-wangxun/Deep_Metric
Deep Metric Learning
vbelz/Speech-enhancement
Deep learning for audio denoising
zhihanyue/ts2vec
A universal time series representation learning framework
davidtellez/contrastive-predictive-coding
Keras implementation of Representation Learning with Contrastive Predictive Coding
anicolson/DeepXi
Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.
jefflai108/Contrastive-Predictive-Coding-PyTorch
Contrastive Predictive Coding for Automatic Speaker Verification
sthalles/PyTorch-BYOL
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning
emadeldeen24/TS-TCC
[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"
pkumivision/FFC
This is an official pytorch implementation of Fast Fourier Convolution.
tevisgehr/EEG-Classification
This project was a joint effort with the neurology labs at UNL and UCD Anschutz to use deep learning to classify EEG data.
KyleZhang1118/Voice-Separation-and-Enhancement
A framework for quick testing and comparing multi-channel speech enhancement and separation methods, such as DSB, MVDR, LCMV, GEVD beamforming and ICA, FastICA, IVA, AuxIVA, OverIVA, ILRMA, FastMNMF.
sanatonek/TNC_representation_learning
jon-tow/cs224n
Solutions to CS224n: Natural Language Processing with Deep Learning assignments.
ucals/cvae
zacharycbrown/ssl_baselines_for_biosignal_feature_extraction
Implementations of various published works on self-supervised learning approaches to biosignal feature extraction.
orchidas/Speech-Denoising
Contains all MATLAB programs related to my undergraduate thesis - Kalman Filter in Speech Enhancement
sudiptodip15/CCMI
Classifier based mutual information, conditional mutual information estimation; conditional independence testing
IBM/RandomWarpingSeries
RandomWarpingSeries (RWS) is a simple code for generating the vector representation of time-series for time-series classification, clustering, and regression.
adamsolomou/Speech-Enhancement
Real-time speech enhancement based on spectral subtraction
lilfelix/reproducibility_NeurIPS19
jstranne/mouse_self_supervision
lipikaramaswamy/CSVAE
Harvard AM207 Fall 2019 Final Project