Ieie's repositories
Techjam2019
Competition code and result.
age-gender-estimation
Keras implementation of a CNN network for age and gender estimation
awesome
😎 Awesome lists about all kinds of interesting topics
awesome-computer-vision
A curated list of awesome computer vision resources
awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
My-Papers
My reaseach papers
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
bypass-paywalls-chrome
Bypass Paywalls web browser extension for Chrome and Firefox.
codesanook-free-programming-ebooks-tutorials-and-resources
Set of free programming ebook, pdf, epub, mobi or online version and free programming knowledge resources.
CyberDropMe-dl
A CyberDrop.me Downloader with modern GUI and multithreading based on PySide6
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
E-Hentai-Downloader
Download E-Hentai archive as zip file
financial-machine-learning
A curated list of practical financial machine learning (FinML) tools and applications in Python.
freqtrade
Free, open source crypto trading bot
hit-me-please
CI/CD Wordshop @ Pronto
Loss-Data-Analytics
Loss Data Analytics is an interactive, online, freely available text. It provides core training on one of the foundations of actuarial science, loss data modeling.
machine_learning_examples
A collection of machine learning examples and tutorials.
nlp_thai_resources
More than 50+ collections of Thai Natural Language Processing libraries. Update daily.
NostalgiaForInfinity
Trading strategy for the Freqtrade crypto bot
pyImageSearch
AI Training
sagemaker-imbalance-container
Sagemaker container + imbalanced learn library
sas-viya-python
SAS VIYA Python Example
seq2seq-chatbot
Chatbot in 200 lines of code using TensorLayer
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.
word-embedding-creation
A project to create your very own word embeddings