clz3066

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

soft-dtw

Python implementation of soft-DTW.

benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Variational-Autoencoder-for-EEG-analysis

Variational Autoencoder for EEG analysis

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

PyHessian

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

Brain-and-Cognition-Papers-with-Code

🎉🎨 Papers, Code, Datasets for Neuroscience and Cognition Science

SciencePlots

Matplotlib styles for scientific plotting

awesome-neural-geometry

A curated collection of resources and research related to the geometry of representations in the brain, deep networks, and beyond

ladder-vae-pytorch

Ladder Variational Autoencoders (LVAE) in PyTorch

Variational-Autoencoders

Beta-VAE, Conditional-VAE, Total Correlation-VAE, FactorVAE, Relevance Factor-VAE, Multi-Level VAE, (Soft)-IntroVAE (Beta-Version), LVAE, VLAE, VaDE and MFCVAE implemented in Tensorflow 2

Mutual-information-VAE

PyTorch implementation of "Mutual information variational autoencoders and its application to feature extraction of multivariate time series" by Li et al

timeVAE

TimeVAE implementation in keras/tensorflow

s4

Structured state space sequence models

DRL

Deep Reinforcement Learning

EEG_VAE

torcheeg

TorchEEG is a library built on PyTorch for EEG signal analysis.

EEG-ATCNet

Attention temporal convolutional network for EEG-based motor imagery classification

MIT-Linear-Algebra-Learning-Materials

这是我学习MIT18.06线性代数课所收集的学习材料

BCICIV2a-FBCSP

Implementation of filter bank common spatial pattern (FBCSP) for MI-based BCI in python

acstp

Adaptive Common Spatio-Temporal Pattern (ACSTP) for Event-Related Potential (ERP) analysis.

cs-video-courses

List of Computer Science courses with video lectures.

awesome-neuroscience

A curated list of awesome neuroscience libraries, software and any content related to the domain.

Book4_Power-of-Matrix

Book_4_《矩阵力量》 | 鸢尾花书：从加减乘除到机器学习；上架！

ssm

Bayesian learning and inference for state space models

cilds

Dimensionality reduction of calcium-imaged neuronal population activity

sktime

A unified framework for machine learning with time series

HKBUthesis

HKBU PhD/MPhil thesis template as well as key steps for submission

fixed-point-finder

FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks

awesome-equivariant-network

Paper list for equivariant neural network