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aerialdetection

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-incremental-few-shot-object-detection

A paper list for incremental few-shot object detection.

buaathesis

北航研究生学位论文模板（Word+LaTeX）.

caffe

Caffe: a fast open framework for deep learning.

cec-cvpr2021

Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

class-incremental-learning

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020)

constrained-fscil

PyTorch Implementation of the CVPR'22 Paper "Constrained Few-shot Class-incremental Learning"

cs230-code-examples

Code examples in pyTorch and Tensorflow for CS230

cvpr22-fact

The code repository for "Forward Compatible Few-Shot Class-Incremental Learning" (CVPR22) in PyTorch.

decision___boundary

deep-residual-networks

Deep Residual Learning for Image Recognition

dive-into-dl-pytorch

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。

dl-notes-for-interview

deep learning/ machine learning

dota-doai

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

dota_devkit

dpgn

This repository contains the official implementation of DPGN: Distribution Propagation Graph Network for Few-shot Learning.

dronevehicle

Drone-based RGB-Infrared Cross-Modality Vehicle Detection via Uncertainty-Aware Learning

etdataset

The Electricity Transformer dataset is collected to support the further investigation on the long sequence forecasting problem.

feat

The code repository for "Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions"

few-shot

Repository for few-shot learning machine learning projects

fscil_alice

gfcil

Pytorch Implementation of WSDM 2022 -- Graph Few-shot Class-incremental Learning

gp-tree

GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning

groundingdino

Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

iccv2021-paper-code-interpretation

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

kaggle-cloud

langchain

⚡ Building applications with LLMs through composability ⚡

logicstack-leetcode

公众号「宫水三叶的刷题日记」刷穿 LeetCode 系列文章源码

manifold_mixup

Code for reproducing Manifold Mixup results (ICML 2019)