A fast, convenient and nonintrusive conversion framework between JSON and model. Your model class doesn't need to extend any base class. You don't need to modify any model file.
- objective-c
- model
- json
- dictionary
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A fast, convenient and nonintrusive conversion framework between JSON and model. Your model class doesn't need to extend any base class. You don't need to modify any model file.
Common User Passwords Profiler (CUPP)
Python module that makes working with XML feel like you are working with JSON
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.
Flexible and versatile OAuth 2.0/OpenID Connect stack for .NET
VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.
Lightning ⚡️ fast forecasting with statistical and econometric models.
A build system for creating cross-platform styles.
An addictive .NET IoC container
A unified, comprehensive and efficient recommendation library
Performance analysis of predictive (alpha) stock factors
Official repository for the Boltz biomolecular interaction models
Python Sorted Container Types: Sorted List, Sorted Dict, and Sorted Set
Database documentation built easy
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
Python Toolkit for Causal and Probabilistic Reasoning
macOS dictation app
Large list of handpicked color names 🌈
StellarGraph - Machine Learning on Graphs
A :baby: buddy to help caregivers track sleep, feedings, diaper changes, tummy time and more to learn about and predict baby's needs without (as much) guess work.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Python dictionaries with advanced dot notation access
Message Passing Neural Networks for Molecule Property Prediction
Castle Core, including Castle DynamicProxy, Logging Services and DictionaryAdapter