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finevent

Code for "Reinforced, Incremental and Cross-lingual Event Detection From Social Messages"

free-programming-books

:books: Freely available programming books

hebo

Bayesian optimisation library developped by Huawei Noah's Ark Library

iml_methods_limitations

Seminar on Limitations of Interpretable Machine Learning Methods

ind_knn_ad

Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.

learn2branch

Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)

learning-to-solve-stochastic-integer-programs

leetcode

LeetCode题解，151道题完整版

lof_ocsvm

This folder contains python codes that used to compare between Local Outlier Factor algorithm and One Class Support Vector Machine on detecting outliers in a credit card transactions dataset.

loftr

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021

ocsvm-anomaly-detection

anomaly detection by one-class SVM

patchcore-inspection

patchcore inspection

preferencetransformer

Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)

python-moiptimiser

Multi-Objective Integer Programming with Gurobi and Python

python-tutorial

sbu-python-summer

rethinking-anomaly-detection

ICML 2022 https://arxiv.org/abs/2205.15508

rtfm

Official code for 'Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning' [ICCV 2021]

sbu-python-summer.github.io

course material for IACS summer python boot camp | sbu-python-summer

thorough-pytorch

PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/

transformer-explainability

[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

transformer-mm-explainability

[ICCV 2021- Oral] Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

umil

www-2022-paper-supplementary-materials

wzu-machine-learning-course

温州大学《机器学习》课程资料（代码、课件等）

yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors