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Simplify geometry using the Ramer–Douglas–Peucker algorithm.
The Ramer-Douglas-Peucker algorithm implemented in Python
Matlab geometry toolbox for 2D/3D geometric computing
Polygon Clipping and Offsetting - C++, C# and Delphi
Line search methods for optimization and root-finding
This is the notes for Dr. Frederic Schuller's course on Quantum Theory. This file is slightly different to the other one I have on here as it contains typo corrections/other edits made by other peo…
TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficie…
Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
VIP cheatsheets for Stanford's CS 229 Machine Learning
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Interact with your documents using the power of GPT, 100% privately, no data leaks
Examples of python neural net and ML stock prediction methods with sample stock data.
Code samples for my book "Neural Networks and Deep Learning"
🦜🔗 Build context-aware reasoning applications
All Algorithms implemented in Python
Clone from https://people.sc.fsu.edu/~jburkardt/cpp_src/cpp_src.html
HORTON: Helpful Open-source Research TOol for N-fermion systems
neuralnetworksanddeeplearning.com integrated scripts for Python 3.5.2 and Theano with CUDA support
Davidson eigensolver implemented in Fortran