Module for statistical learning, with a particular emphasis on time-dependent modelling
- machine-learning
- python
- point-process
- optimization
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Module for statistical learning, with a particular emphasis on time-dependent modelling
Model layer for Meteor
ACADO Toolkit is a software environment and algorithm collection for automatic control and dynamic optimization. It provides a general framework for using a great variety of algorithms for direct optimal control, including model predictive control, state and parameter estimation and robust optimization.
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
Vision-Language Pathology Foundation Model - Nature Medicine
A Euclidean diffusion model for structure-based drug design.
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
RNA Velocity generalized through dynamical modeling
A Python native dynamical system simulation framework in the block diagram paradigm.
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
a numpy-like fast vector module for micropython, circuitpython, and their derivatives
open source software for bidimensional and tridimensional remeshing
C Implementation of 1D and 2D Wavelet Transforms (DWT,SWT and MODWT) along with 1D Wavelet packet Transform and 1D Continuous Wavelet Transform.
A model generator for energy system modelling and optimisation (LP/MILP).
Iterative Linear Quadratic Regulator with auto-differentiatiable dynamics models
GEARS is a geometric deep learning model that predicts outcomes of novel multi-gene perturbations
Reference mapping for single-cell genomics
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
Deep Reinforcement Learning for de-novo Drug Design
A C/C++ header file for fast 32-bit division remainders (and divisibility tests) on 64-bit hardware.
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
UCE is a zero-shot foundation model for single-cell gene expression data
pyMOR - Model Order Reduction with Python