The calflops is designed to calculate FLOPs、MACs and Parameters in all various neural networks, such as Linear、 CNN、 RNN、 GCN、Transformer(Bert、LlaMA etc Large Language Model)

Accompanying code repository for NEMO, A Database for Emotion Analysis Using Functional Near-infrared Spectroscopy

[ICASSP-2021] Official implementations of Multi-View Contrastive Learning for Online Knowledge Distillation (MCL-OKD)

[AAAI-2022 Oral] Official implementations of MCL: Mutual Contrastive Learning for Visual Representation Learning

[TPAMI-2023] Official implementations of L-MCL: Online Knowledge Distillation via Mutual Contrastive Learning for Visual Recognition

[ICLR 2020] Contrastive Representation Distillation (CRD), and benchmark of recent knowledge distillation methods

Official Code for Teacher Assistant-Based Knowledge Distillation Extracting Multi-level Features on Single Channel Sleep EEG (IJCAI 2023)

Official implementation for "iTransformer: Inverted Transformers Are Effective for Time Series Forecasting" (ICLR 2024 Spotlight), https://openreview.net/forum?id=JePfAI8fah

Early stopping for PyTorch

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

C++ 匠心之作 从0到1入门资料

A Python Toolbox for Multimode Neural Data Representation Analysis - A Representational Analysis Toolbox for Neuroscience, including Neural Pattern Similarity (NPS), Representational Similarity Ana…

Domain Adaptation for Time Series Under Feature and Label Shifts

[TPAMI 2023] Self-supervised Contrastive Representation Learning for Semi-supervised Time-Series Classification

Code for mixup contrastive learning

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

[IJCAI-21] "Time-Series Representation Learning via Temporal and Contextual Contrasting"

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan…

Official implementation of our ICLR 2023 paper "Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting"

MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

About Code release for "TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis" (ICLR 2023), https://openreview.net/pdf?id=ju_Uqw384Oq

A python library to read and write SNIRF (standard near infrared files)

TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation

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…

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"