A Python-embedded modeling language for convex optimization problems.
- python
- cvxpy
- optimization
- modeling-language
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Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
- deep-learning
- protein-sequences
- protein-structure
- semi-supervised-learning
A Compositional Numeric Library for C++
- cmake
- cpp
- fixed-point
- safe
Nonconvex embedded optimization: code generation for fast real-time optimization + ROS support
- embedded-optimization
- nonconvex
- model-predictive-control
- rust-library
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
- arithmetic
- integer-arithmetic
- fixed-point-arithmetic
- rational-arithmetic
Graph-linked unified embedding for single-cell multi-omics data integration
- bioinformatics
- deep-learning
- single-cell
- single-cell-multiomics
Wide-Integer implements a generic C++ template for uint128_t, uint256_t, uint512_t, uint1024_t, etc.
- high-performance
- embedded-systems
- multiprecision
- numerical
🏃 The go-to single-cell Foundation Model
- batch-correction
- cell-biology
- celltype-annotation
- denoising