Vitvicky

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

ML-YouTube-Courses

📺 Discover the latest machine learning / AI courses on YouTube.

deep-learning-time-series

List of papers, code and experiments using deep learning for time series forecasting

PatchTST

An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

nlp-paper

自然语言处理领域下的相关论文（附阅读笔记），复现模型以及数据处理等（代码含TensorFlow和PyTorch两版本）

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.

GNNs-Recipe

🟠 A study guide to learn about Graph Neural Networks (GNNs)

mdistiller

The official implementation of [CVPR2022] Decoupled Knowledge Distillation https://arxiv.org/abs/2203.08679 and [ICCV2023] DOT: A Distillation-Oriented Trainer https://openaccess.thecvf.com/content/ICCV2023/papers/Zhao_DOT_A_Distillation-Oriented_Trainer_ICCV_2023_paper.pdf

Best-Incremental-Learning

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

Awesome-time-series

A comprehensive survey on the time series domains

Time-Series-Papers

List of awesome papers about time series, mainly including algorithms based on machine learning | 收录时间序列分析中各个研究领域的高水平文章，主要包含基于机器学习的算法

book

PDFs and Codelabs for the Efficient Deep Learning book.

pytod

TOD: GPU-accelerated Outlier Detection via Tensor Operations

classix

Fast and explainable clustering in Python

UPL

This repo is the official implementation of UPL (Unsupervised Prompt Learning for Vision-Language Models).

RevisitingCIL

Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need (IJCV 2024)

submodlib

Summarize Massive Datasets using Submodular Optimization

orca

[ICLR 2022] Open-World Semi-Supervised Learning

MetaVec

A monolingual and cross-lingual meta-embedding generation and evaluation framework

sentence-representations

class-iNCD

PyTorch implementation for the paper Class-incremental Novel Class Discovery (ECCV 2022)

SLA2P

[CIKM 2022] Self-supervision Meets Adversarial Perturbation: A Novel Framework for Anomaly Detection (PyTorch)

AEVA-Blackbox-Backdoor-Detection-main

MMCL

Code for Max-Margin Contrastive Learning - AAAI 2022

Convolutional-Net-Prototype-Ensemble

implement of ICDE 2019 paper: Robust High Dimensional Stream Classification with Novel Class Detection

subgd

Code for "Few-Shot Learning by Dimensionality Reduction in Gradient Space"

ABSGD

Implemented ABSGD Algorithm in the Paper https://arxiv.org/abs/2012.06951

CIFDM