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Stars
Get your documents ready for gen AI
A dynamic FastAPI router that automatically creates CRUD routes for your models
Resizeable multi-dimensional arrays for Julia
Formatted output of timed sections in Julia
Type stable and efficient wrapper of arbitrary Julia functions
SQL databases in Python, designed for simplicity, compatibility, and robustness.
Data validation using Python type hints
A modern, C++-native, test framework for unit-tests, TDD and BDD - using C++14, C++17 and later (C++11 support is in v2.x branch, and C++03 on the Catch1.x branch)
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😎 Awesome lists about all kinds of interesting topics
A machine learning compiler for GPUs, CPUs, and ML accelerators
Multi-Language Vulkan/GL/GLES/EGL/GLX/WGL Loader-Generator based on the official specs.
Development repository for the CodeMirror editor project
C++ tensors with broadcasting and lazy computing
An Interview Primer for Quantitative Finance
Fast and flexible Gaussian Process regression in Python
🔥 JavaScript Library for HTML5 canvas based heatmaps
very good whiteboard SDK / infinite canvas SDK
nanobind: tiny and efficient C++/Python bindings
Code for visualizing the loss landscape of neural nets
Gaussian process augmented with a probabilistic model of expected system's behavior
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Contains Solutions to Deep Learning Specailization - Coursera
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG