Google Research
Repository Index
47,133 repositories indexed
1–24 of 115 · Most stars
Simulation platform for general-purpose robotics & embodied AI learning.
Optimizing compiler for React
- hacktoberfest
- million
- millionjs
- virtual-dom
Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
- autodiff
- deep-learning
- machine-learning
- rust
SciPy library main repository
- python
- scipy
- algorithms
- closember
Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learn...
- java
- gpu
- deeplearning
- neural-nets
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
AI Toolkit for Healthcare Imaging
- healthcare-imaging
- deep-learning
- medical-image-computing
- medical-image-processing
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
g2o: A General Framework for Graph Optimization
- g2o
- slam
- c-plus-plus
- graph-optimization
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
- pytorch
- protein-structure
- alphafold2
Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.
- differential-equations
- differentialequations
- julia
- ode
POT : Python Optimal Transport
- optimal-transport
- numerical-optimization
- machine-learning
- emd
Exploit chain for PS5 7.00 - 13.60
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
library for nonlinear optimization, wrapping many algorithms for global and local, constrained or unconstrained, optimization
This package contains deep learning models and related scripts for RoseTTAFold
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
- python
- genetic-algorithm
- optimization
- numpy
Chai-1, SOTA model for biomolecular structure prediction
A set of documented functions for simulating the performance of photovoltaic energy systems.
- solar-energy
- python
- renewable-energy
- renewables
Computational Geometry Unity library with implementations of intersection algorithms, triangulations like delaunay, voronoi diagrams, polygon clipping, bezier curves, ear clipping, convex hulls, mesh simplification, etc
- unity3d
- computational-geometry
- voronoi
- intersections
Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.
- kratos
- fem
- dem
- parallel-computing
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.