Бат-Амгалан (aadaa88)

aadaa88

Geek Repo

Location:Mongolia

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Бат-Амгалан's repositories

models

Models and examples built with TensorFlow

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word_cloud

A little word cloud generator in Python

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awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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C-Simple-JSON-Parser

Extremely lightweight, easy-to-use & blazing fast JSON parsing library written in pure C

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ChatGPT_Test

OpenAI API Test

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Deep-Fake_First_Order_Model

This Repo consists of implementing First order motion model for making Deep Fakes. It is referenced from a video on youtube by Two Minute Papers about Deep Fakes. The code given by @AliaksandrSiarohin

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deep-learning-with-python-notebooks

<케라스 창시자에게 배우는 딥러닝> 도서의 주피터 노트북

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django-cheat-sheet

A cheat sheet for creating web apps with the Django framework.

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dlaicourse

Notebooks for learning deep learning

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docker-images

Official source for Docker configurations, images, and examples of Dockerfiles for Oracle products and projects

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flutter_templates

Built with Flutter. Completely free for everyone.

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gpt-3

GPT-3: Language Models are Few-Shot Learners

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introduction_to_ml_with_python

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

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iRudaBOT

iRuda BOT - Discord

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LipNet

Keras implementation of 'LipNet: End-to-End Sentence-level Lipreading'

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machine-learning

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

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pgenv

PostgreSQL binary manager

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pydata-book

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

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pyfolio

Portfolio and risk analytics in Python

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research_public

Quantitative research and educational materials

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sahara

a plugin for vagrant that allows you manage a sandbox state

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stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

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vulnx

vulnx 🕷️ an intelligent Bot, Shell can achieve automatic injection, and help researchers detect security vulnerabilities CMS system. It can perform a quick CMS security detection, information collection (including sub-domain name, ip address, country information, organizational information and time zone, etc.) and vulnerability scanning.

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zipline

Zipline, a Pythonic Algorithmic Trading Library

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