Efficiently computes derivatives of NumPy code.
- autograd
- automatic-differentiation
- numpy
- python
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Efficiently computes derivatives of NumPy code.
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.
POT : Python Optimal Transport
Message Passing Neural Networks for Molecule Property Prediction
Optax is a gradient processing and optimization library for JAX.
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
Implementation of DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking
A research toolkit for particle swarm optimization in Python
:chart_with_upwards_trend: Adaptive: parallel active learning of mathematical functions
Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Clinical Histopathology Imaging Evaluation Foundation Model
Module for statistical learning, with a particular emphasis on time-dependent modelling
🎯 A comprehensive gradient-free optimization framework written in Python
Vision-Language Pathology Foundation Model - Nature Medicine
A Euclidean diffusion model for structure-based drug design.
A tool for semi-automatic cell type classification
A Python native dynamical system simulation framework in the block diagram paradigm.
Tools for computational pathology
Maze Applied Reinforcement Learning Framework
Descriptor computation(chemistry) and (optional) storage for machine learning
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.