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automatic differentiation made easier for C++
Master programming by recreating your favorite technologies from scratch.
TinyDB is a lightweight document oriented database optimized for your happiness :)
Collection of notebooks about quantitative finance, with interactive python code.
Compile-time indentation based, XML structured template system
autograd mir and CUDA library for dynamic neural networks in D.
Seamless operability between C++11 and Python
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
Runnable code for solving Project Euler problems in Java, Python, Mathematica, Haskell.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Python package for scraping recipes data
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
dj-stripe automatically syncs your Stripe Data to your local database as pre-implemented Django Models allowing you to use the Django ORM, in your code, to work with the data making it easier and f…
Universal payment handling for Django.
A didactic Python library with well-commented and annotated implementations of machine learning algorithms.
code for Cunningham and Ghahramani (2015), Journal of Machine Learning Research
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Multivariate Autoregressive State-Space Modeling with R
Statistical package in Python based on Pandas