Stars
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
A new markup-based typesetting system that is powerful and easy to learn.
Nvidia Instruction Set Specification Generator
Run and manage FastAPI apps from the command line with FastAPI CLI. 🚀
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A Unified Library for Parameter-Efficient and Modular Transfer Learning
List of Computer Science courses with video lectures.
Image registration using discrete Fourier transform.
Taming Transformers for High-Resolution Image Synthesis
Pytorch implementation of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors
Python library for CMA Evolution Strategy.
NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO
Convert HTML to PDF using Webkit (QtWebKit)
Gdstk (GDSII Tool Kit) is a C++/Python library for creation and manipulation of GDSII and OASIS files.
Distribution transparent Machine Learning experiments on Apache Spark
Getting Started with Google BERT, published by Packt
Code related to the paper "Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation"
Monte Carlo Simulation of SEM Signals using CUDA.
libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy
2D multi-source electromagnetic simulations in frequency domain, implementing the augmented partial factorization (APF) and other methods.
[ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl
Collaborative Collection of C++ Best Practices. This online resource is part of Jason Turner's collection of C++ Best Practices resources. See README.md for more information.