10 differentiable physical simulators built with Taichi differentiable programming (DiffTaichi, ICLR 2020)
- differentiable-programming
- taichi
- simulation
- robotics
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Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
- semi-supervised-learning
Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more
10x faster matrix and vector operations
- machine-learning
- data-mining
- database
- compression
ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
- character-animation
- digital-human
- humanoid
- humanoid-robots
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Multiphysics Object Oriented Simulation Environment: A robust, modern, extendable, finite element/finite volume framework that excels at creating complex multiphysics simulations.
- multiphysics
- simulation
- fem
- finite-elements
Run, compile and execute JavaScript for Scientific Computing and Data Visualization TOTALLY TOTALLY TOTALLY in your BROWSER! An open source scientific computing environment for JavaScript TOTALLY in your browser, matrix operations with GPU acceleration, TeX support, data visualization and symbolic computation.
- javascript
- scientific-computing
- machine-learning
- symbolic-computation
An open source flight dynamics & control software library
- flight-simulation
- flight-dynamics
- simulation
- aerospace-engineering
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python, Matlab/Octave, Julia or Javascript
- optimization
- nonlinear
- derivatives
- code-generation
2004-2020美赛O奖论文
Apache Mahout - an environment for quickly creating scalable, performant machine learning applications.
- apache-mahout
- cuda
- python
- rust
PositionBasedDynamics is a library for the physically-based simulation of rigid bodies, deformable solids and fluids.
- simulation
- position-based-dynamics
- rigid-bodies
- rigid-body-dynamics
Lightweight, general, scalable C++ library for finite element methods
- finite-elements
- high-order
- high-performance-computing
- parallel-computing
PyPSA: Python for Power System Analysis
- python
- optimisation
- energy-system
- power-systems-analysis
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
Evolutionary multi-objective optimization platform
- evolutionary-algorithms
- multi-objective-optimization
- matlab
MMseqs2: ultra fast and sensitive search and clustering suite
- bioinformatics
- sequence-clustering
- profile-search
- sequence-search
Differentiable convex optimization layers
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
- differential-equations
- jax
- deep-learning
- neural-differential-equations
A library for differentiable nonlinear optimization
- differentiable-optimization
- robotics
- embodied-ai
- nonlinear-least-squares
Chai-1, SOTA model for biomolecular structure prediction
SPlisHSPlasH is an open-source library for the physically-based simulation of fluids.
- sph
- fluids
- sph-fluids
- smoothed-particle-hydrodynamics
A differentiable PDE solving framework for machine learning
- differentiable-simulations
- fluid-simulations
- deep-learning
- neural-networks