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Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
A professional list on Large (Language) Models and Foundation Models (LLM, LM, FM) for Time Series, Spatiotemporal, and Event Data.
[NeurIPS 2020] “ Robust Pre-Training by Adversarial Contrastive Learning”, Ziyu Jiang, Tianlong Chen, Ting Chen, Zhangyang Wang
Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)
Code for "MixMatch - A Holistic Approach to Semi-Supervised Learning"
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
PyTorch implementation of adversarial attacks [torchattacks]
Adv-IFD: Adversarial Attack Datasets for An Intelligent Fault Diagnosis
A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
智能故障诊断和寿命预测期刊（Journals of Intelligent Fault Diagnosis and Remaining Useful Life）
This repository contains the trained model checkpoints and crafted adversarial samples of the paper: Attack and Defense: Adversarial Security of Data-driven FDC Systems, Yue Zhuo and Zhiqiang Ge.
[ECCV 2022] SuperLine3D: Self-supervised Line Segmentation and Description for LiDAR Point Cloud
About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_
Time Series Change Point Detection based on Contrastive Predictive Coding
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
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Fully Convlutional Neural Networks for state-of-the-art time series classification
VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
Zhejiang University Graduation Thesis LaTeX Template
mixup: Beyond Empirical Risk Minimization
PyTorch implementations of Generative Adversarial Networks.
Methods and Implements of Deep Clustering
List of papers, code and experiments using deep learning for time series forecasting
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…