Showing 41-60 of 88 projects
Differentiable SDE solvers with GPU support and sensitivity analysis
A Go-based tool for database anonymization and synthetic data generation to help with security, QA, and data masking.
A Julia framework for acausal modeling, symbolic math, and parallelized scientific machine learning.
Enzyme is a high-performance automatic differentiation library for LLVM and MLIR, enabling efficient machine learning and scientific computing.
A collection of resources for working with differential equations, deep learning, and dynamical systems.
A Python library for differentiable robotics and pose estimation using deep learning and optimization.
DDlog is a declarative language for writing programs that continuously update their output in response to input changes.
A collection of must-read papers on Physics-Informed Neural Networks (PINNs), a powerful approach for solving differential equations.
A differentiable rendering library that enables Monte Carlo ray tracing without approximation for computer graphics and vision applications.
An educational resource for learning RNA-seq analysis including cloud computing, data formats, and visualization.
An open-source differentiable dense SLAM library for PyTorch, focused on 3D reconstruction and robotics.
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices.
A differentiable, hardware-accelerated molecular dynamics library for scientific computing.
A header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.
An open-source library for research on communication systems, including 5G and 6G, with GPU acceleration and link-level simulation.
A GitHub repository for Owl, a OCaml Scientific Computing framework
Differentiable data augmentation techniques for efficient training of generative adversarial networks (GANs).
A differentiable PyTorch-compatible library for working with finite-state automata and transducers.
A PyTorch-based framework for solving constrained optimization problems, physics-informed ML, and parametric model predictive control.
Enoki is a C++ library for structured vectorization and differentiation on modern processor architectures.
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