Bater.Makhabel's Projects
Best practice and tips & tricks to write scientific papers in LaTeX, with figures generated in Python or Matlab.
📚 Parameterize, execute, and analyze notebooks
大安全和软件开发领域的研究汇总(feei.cn)
Summaries of machine learning papers
Papers from the computer science community to read and discuss.
Tutorial on scikit-learn and IPython for parallel machine learning
PARL A high-performance distributed reinforcement learning framework
A framework for training and evaluating AI models on a variety of openly available dialog datasets.
Apache Parquet
Apache Parquet
A little library for text analysis with RNNs.
Introduction to Data Analysis: Path Classification Experiment. 本资源以选择最优路径为例详细介绍了如何解决一般的分类问题,包括原始数据的探索、模型的构建、模型调优和模型预测分析。包含前馈神经网络(Keras)、机器学习模型(sklearn)和绘制数据图表(matplotlib)的基础使用。
Describing statistical models in Python using symbolic formulas
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
A list of useful payloads and bypass for Web Application Security and Pentest/CTF
Code, Notebooks and Examples from Practical Business Python
Keras implementation of "Image Inpainting for Irregular Holes Using Partial Convolutions"
A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.
A collection of pentest and development tips
收集一些小型实用的工具
Python Enhancement Proposals
Pytorch implementation of Image Manipulation with Perceptual Discriminators paper
:fire::fire: PyTorch implementation of "Progressive growing of GANs (PGGAN)" :fire::fire:
Python Library for Probabilistic Graphical Models
The SSBM "Phillip" AI.
This project is based on detecting phishing/fraud/malicious website using Random Forest Classification formula. Implemented using Python programming language and Django framework.
Find phishing kits which use your brand/organization's files and image.
Go AI program which implements the AlphaGo Zero paper
A PHP parser written in PHP
PHP7内核剖析