fedoracy's repositories
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.
AdaBoost_Seg
TIP2022 Adaptive Boosting (AdaBoost) for Domain Adaptation ? :woman_shrugging: Why not ! :ok_woman:
amortized-optimization-tutorial
Tutorial on amortized optimization for learning to optimize over continuous domains
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
awesome-federated-learning
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
branch2learn
:trident: Learning to Branch in Mixed Integer Linear Programming with Graph Convolutional Neural Networks in Ecole
CM-GAN-Inpainting
CM-GAN for Image Inpainting
coding-interview-university
A complete computer science study plan to become a software engineer.
DRA
Official PyTorch implementation of the paper “Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection”, open-set anomaly detection, few-shot anomaly detection.
Fed-SC
Fed-SC: one-shot federated scheme for subspace clustering
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
learn2branch
Exact Combinatorial Optimization with Graph Convolutional Neural Networks (NeurIPS 2019)
LoFTR
Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021
patchcore-inspection
patchcore inspection
pbdl-book
Welcome to the Physics-based Deep Learning Book (v0.2)
PreferenceTransformer
Preference Transformer: Modeling Human Preferences using Transformers for RL (ICLR2023 Accepted)
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]
thorough-pytorch
PyTorch入门教程，在线阅读地址：https://datawhalechina.github.io/thorough-pytorch/
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
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