tf1997

bigmc

The BigMC Bigraphical Analysis Tool

Lasso-in-PyTorch

Why lasso can't produce sparse solution in pytorch

fewshot-CAN

Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).

awesome-papers-fewshot

Collection for Few-shot Learning

ATL-Net

The code of "Learning Task-aware Local Representations for Few-shot Learning", IJCAI 2020.

MiningFSS

[ICCV 2021 Oral] Mining Latent Classes for Few-shot Segmentation

DeepEMD

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

attention-module

Official PyTorch code for "BAM: Bottleneck Attention Module (BMVC2018)" and "CBAM: Convolutional Block Attention Module (ECCV2018)"

simple-cnaps

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)

DMN4

Code and data for paper: https://arxiv.org/abs/2103.08160

Semantic-aware-Knowledge-Distillation-for-Few-ShotClass-Incremental-Learning

CVPR2021

DSRC

Tensorflow implementation of "Deep sparse representation-based classification"

sparseRepresentationCourseProject

Vehicle-Identification-Speed-Detection

Vehicle Identification Speed Detection (VISD) extracts vehicle information like License Plate number, Manufacturer and colour from a video and provides this data in the form of a CSV file. VISD can also perform vehicle speed detection on a video. All these features of VSID are provided to the user using a Web Application which is created using Flask

traffic-video-analysis

A vehicle counter and speed measuring program developed using Python and OpenCV library.

image-noise-reduction

A script of image noise reduction using the ksvd algorithm written in python.

ksvd

A ksvd implementation written in python.

DeepLearning

CS-Notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计

Machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

MathModel

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

deep-go

Replicating: Move Evaluation In Go Using Deep Convolutional Neural Networks

python-tutorial

Python实用教程，包括：Python基础，Python高级特性，面向对象编程，多线程，数据库，数据科学，Flask，爬虫开发教程。

TranslucentTB

A lightweight utility that makes the Windows taskbar translucent/transparent.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

Coursera-ML-AndrewNg-Notes

吴恩达老师的机器学习课程个人笔记

ipdatabase

IP geolocation binary tree search

UserAgentParser

User Agent Parser written in Java

Imooc-SparkSQL

SparkSQL慕课网日志分析及可视化展示