Showing 1-20 of 88 projects
JAX is a high-performance numerical computing library for Python, enabling transformations like differentiation and JIT compilation for GPUs/TPUs.
Taichi Lang is a high-performance GPU programming language embedded in Python for numerical computation and parallel execution.
A tensor library for machine learning, with a focus on large language models and automatic differentiation.
A Python library for secure and private machine learning using federated learning and differential privacy
A WebGL-accelerated JavaScript library for machine learning and deep learning on the web.
Interpret is a framework for fitting interpretable machine learning models and explaining black-box models.
A collection of notebooks covering quantitative finance and numerical methods in Python.
Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, and other optimization algorithms for Python
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
Gorgonia is a Go library that helps facilitate machine learning and deep learning development.
A Python library for solving and discovering nonlinear partial differential equations using physics-informed neural networks.
MegEngine is a fast, scalable, and easy-to-use deep learning framework that supports auto-differentiation.
A differentiable architecture search library for convolutional and recurrent neural networks
Math.NET Numerics is a high-performance, open-source numerical library for .NET, C# and F#.
A curated list of software packages and data resources for single-cell analysis, including RNA-seq and ATAC-seq.
pgBackRest is a reliable PostgreSQL backup and restore tool with support for various storage options.
A library for developing neural operators using Fourier methods and PyTorch, enabling efficient learning on infinite dimensional spaces.
A differentiable digital signal processing library for building AI-powered audio applications and models.
An implementation of differential dataflow using timely dataflow on Rust, a powerful tool for data processing.
A high-performance, auto-diff neural network library for 3D and 4D sparse tensor computations.
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