Projects
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mit-deep-learning-book-pdf
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
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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
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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nodify
Highly performant and modular controls for node-based editors designed for data-binding and MVVM.
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GoodNetworking
📡 GoodNetworking is an iOS library written in Swift that simplifies HTTP networking by using GRSession and Encodable/DataRequest extensions. It supports latest Swift and all iOS devices, making it a powerful solution for managing network interactions and data encoding/decoding. The library is easy to install with SPM.
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neuralnetwork
It is not very good but to be fair I watched a single YouTube video about neural networks before trying to make one in nothing but python. i am also not very knowledgeable about python. (by bhonzik)
