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A Course on Mathematical Theories of Deep Learning
A curated list of papers & resources linked to 3D reconstruction from images.
open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.
Blockwise Direct Search (MATLAB version)
PRIMA is a package for solving general nonlinear optimization problems without using derivatives. It provides the reference implementation for Powell's derivative-free optimization methods, i.e., C…
Implementation of https://srush.github.io/annotated-s4
Educational and easy-to-understand parallel-beam computed tomography simulator (implemented both in MATLAB and CUDA)
面向开发者的 LLM 入门教程,吴恩达大模型系列课程中文版
Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
The repository of survey paper "Deep Image Restoration: A Survey"
DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models
Simplified implementations of deep learning related works
Deep Learning Book Chinese Translation
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
This example starts with a simple sum reduction in CUDA, then steps through a series of optimizations we can perform to improve its performance on the GPU. These examples were created alongside a s…
Cross platform, open source application for the processing, visualization, and analysis of 3D tomography data
Operator Discretization Library https://odl.readthedocs.io/
3D medical imaging reconstruction software
The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks
Code for creating epipolar plane images from videos and stacks of images.
PyOP2: a Framework for Performance-Portable Unstructured Mesh-based Simulations and its Application to Finite-Element Computations
Hessian Affine detector with SIFT descriptor, CMP implementation