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yonashub's Projects

a3c_trading icon a3c_trading

Trading with recurrent actor-critic reinforcement learning

adland icon adland

detect and record landing pages of ads in a given website or list of websites

airbnbspider icon airbnbspider

a spider crawl all room info of airbnb ,include reservation of the rooms

anyprint icon anyprint

Use any language's print statements in Python

arxiv-sanity-lite icon arxiv-sanity-lite

arxiv-sanity lite, simply providing the core value proposition of tagging arxiv papers of interest and having the program recommend similar papers in a nice UI using simple SVMs on tfidf feature vectors based on paper abstracts.

awesome-llm icon awesome-llm

Awesome-LLM: a curated list of Large Language Model

bamboolib icon bamboolib

bamboolib - a GUI for pandas dataframes. Stop googling pandas commands

channelattribution icon channelattribution

:exclamation: This is a read-only mirror of the CRAN R package repository. ChannelAttribution — Markov Model for the Online Multi-Channel Attribution Problem. Homepage: http://www.slideshare.net/adavide1982/markov-model-for-the-multichannel-attribution-problem http://www.lunametrics.com/blog/2016/06/30/marketing-channel-attribution-markov-models-r/ http://analyzecore.com/2016/08/03/attribution-model-r-part-1/

code2flow icon code2flow

Pretty good call graphs for dynamic languages

codegen icon codegen

CodeGen is an open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

cookiecutter icon cookiecutter

A command-line utility that creates projects from cookiecutters (project templates). E.g. Python package projects, jQuery plugin projects.

cryptoz icon cryptoz

Lightweight Python library for tracking cryptocurrency markets

cubes icon cubes

Implementation of interesting algorithms in C++

data-poisoning icon data-poisoning

Implementations of data poisoning attacks against neural networks and related defenses.

data-science-45min-intros icon data-science-45min-intros

Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques

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