C++ implementation of Lie Groups using Eigen.
- c-plus-plus
- math
- robotics
- computer-vision
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C++ implementation of Lie Groups using Eigen.
Medical imaging processing for AI applications.
NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing
A community based Python library for quantitative economics
PyWavelets - Wavelet Transforms in Python
Optax is a gradient processing and optimization library for JAX.
FAIR Chemistry's library of machine learning methods for chemistry
An open source flight dynamics & control software library
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
Apache Mahout - an environment for quickly creating scalable, performant machine learning applications.
Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.
This package contains deep learning models and related scripts for RoseTTAFold
A python module for scientific analysis of 3D data based on VTK and Numpy
Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
PyPSA: Python for Power System Analysis
Large Language-and-Vision Assistant for Biomedicine, built towards multimodal GPT-4 level capabilities.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
This API provides programmatic access to the AlphaGenome model developed by Google DeepMind.
Read, modify and write DICOM files with python code
Spectral simulation of analog photography processes
UnrealCV: Connecting Computer Vision to Unreal Engine
An open-source Python framework for hybrid quantum-classical machine learning.
Differentiable convex optimization layers
For running psychology and neuroscience experiments