NorbertZheng
Ph.D. student at PKU. Working on [Computational Neuroscience], [Machine Learning], [Brain Decoding].
Peking UniversityEindhoven,Finland
NorbertZheng's Stars
google/jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
microsoft/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
state-spaces/mamba
Mamba SSM architecture
v2rayA/v2rayA
A web GUI client of Project V which supports VMess, VLESS, SS, SSR, Trojan, Tuic and Juicity protocols. 🚀
openai/jukebox
Code for the paper "Jukebox: A Generative Model for Music"
paperswithcode/ai-deadlines
:alarm_clock: AI conference deadline countdowns
qingsongedu/awesome-AI-for-time-series-papers
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
sooftware/conformer
[Unofficial] PyTorch implementation of "Conformer: Convolution-augmented Transformer for Speech Recognition" (INTERSPEECH 2020)
ritheshkumar95/pytorch-vqvae
Vector Quantized VAEs - PyTorch Implementation
zhirongw/lemniscate.pytorch
Unsupervised Feature Learning via Non-parametric Instance Discrimination
MishaLaskin/vqvae
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
hiwonjoon/tf-vqvae
Tensorflow Implementation of the paper [Neural Discrete Representation Learning](https://arxiv.org/abs/1711.00937) (VQ-VAE).
swasun/VQ-VAE-Speech
PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]
qingsongedu/Awesome-SSL4TS
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
935963004/LaBraM
ICLR 2024 spotlight
MikeWangWZHL/EEG-To-Text
code for AAAI2022 paper "Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification"
duanyiqun/DeWave
Exploration on introducing discrete codex and raw wave decoding to realize Brain-to-Text translation.
eastonYi/wav2vec
a simplified version of wav2vec(1.0, vq, 2.0) in fairseq
qingsongedu/timeseries-tutorial-kdd-2022
KDD'22 Tutorial: Robust Time Series Analysis and Applications An Industrial Perspective
flinkerlab/neural_speech_decoding
TransylvanianInstituteOfNeuroscience/Superlets
ycq091044/BIOT
NeurIPS2023 - A generic biosignal learning framework. Large EEG pre-trained models.
styfenschaer/rocket-fft
Rocket-FFT makes Numba aware of numpy.fft and scipy.fft. Rocket-FFT takes its name from the PocketFFT Fast Fourier Transformation library that powers it, and Numba's goal of making your scientific Python code blazingly fast - like a rocket. 🚀
bojone/FSQ
Keras implement of Finite Scalar Quantization
huzeyann/BrainDecodesDeepNets
PyTorch implementation of "Brain Decodes Deep Nets"
yzz673/Brant-2
935963004/MAET
ACM MM 2023
yzz673/Brant
Pre-trained Transformer on Brain Signals
nerdslab/EIT
PyTorch implementation of "Seeing the forest and the tree: Building representations of both individual and collective dynamics with transformers" (NeurIPS 2022)
ilkyyldz95/EEG_MVTS