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编程擂台-爬虫项目

aaltd18

Data augmentation using synthetic data for time series classification with deep residual networks

animated-computing-machine

awd-lstm-lm

LSTM and QRNN Language Model Toolkit for PyTorch

backward-dynamic-programming

Small python and C++ program to solve a MDP through backward induction

bccd_dataset

BCCD (Blood Cell Count and Detection) Dataset is a small-scale dataset for blood cells detection.

convmf

卷积神经网络（CNN）提取影评特征构建电影推荐系统，pytorch实现

doubanspider

豆瓣读书的爬虫

emotional_classification_with_rnn

基于循环神经网络(RNN)的影评情感分类

explanatorygraph

Interpreting CNN Knowledge via an Explanatory Graph

flower

Flower: A Friendly Federated Learning Framework

gademo

经典遗传算法的Java实现以及遗传算法实现自动组卷

genetictsp

GeneticAlgorithm(Java) For TSP

github-slideshow

A robot powered training repository :robot:

hand-writing-recognition

基于pytorch卷积神经网络的中文手写汉字识别，使用HWDB数据库

iir

Machine Learning / Natural Language Processing / Information Retrieval

influence_subsampling

Official Implementation of Unweighted Data Subsampling via Influence Function - AAAI 2020

interpretable-ml-book

Book about interpretable machine learning

javaguide

「Java学习+面试指南」一份涵盖大部分Java程序员所需要掌握的核心知识。

musicgenreclassification

Classify music genre from a 10 second sound stream using a Neural Network.

projectrul

to prediction the remain useful life of bearing based on 2012 PHM data

pyecharts

🎨 Python Echarts Plotting Library

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

sofiawantmilk.github.io

time_series_augmentation

An example of time series augmentation methods with Keras

train-classifier-from-scratch

Machine Learning: Collect data online and train a classifier from scratch

transformers

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

understanding_black_box_predictions_via_influence_functions_tutorial_mnist

Tiny Tutorial on https://arxiv.org/abs/1703.04730