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aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Python programs, usually short, of considerable difficulty, to perfect particular skills.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)
Dive into this repository, a comprehensive resource covering Data Structures, Algorithms, 450 DSA by Love Babbar, Striver DSA sheet, Apna College DSA Sheet, and FAANG Questions! 🚀 That's not all! We've got Technical Subjects like Operating Systems, DBMS, SQL, Computer Networks, and Object-Oriented Programming, all waiting for you.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Create delightful software with Jupyter Notebooks
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Jupyter's kernel for Elixir programming language
An OCaml kernel for Jupyter (IPython) notebook
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Graviton: verify your TEAL program by experiment and observation
Single Image Random Dot Stereogram for Tensorflow