Efficiently computes derivatives of NumPy code.
- autograd
- automatic-differentiation
- numpy
- python
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Efficiently computes derivatives of NumPy code.
Fast and efficient CSS optimizer for node.js and the Web
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
An efficient C++20 GPU numerical computing library with Python-like syntax
RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
A Practical and Efficient NCBI Taxonomy Toolkit, also supports creating NCBI-style taxdump files for custom taxonomies like GTDB/ICTV
City Energy Analyst (CEA) is an open-source urban building energy modeling (UBEM) platform and computation tool for the design of low-carbon and highly efficient cities.
CEED Library: Code for Efficient Extensible Discretizations
Accurate and efficient spot detection for microscopy data
🔟 Implementation of rational number arithmetic for .NET with arbitrary precision.
MAT is library for working with multi-dimensional arrays which supports efficient interfacing to foreign and CUDA code. BLAS and CUBLAS bindings are available.
CLI bash script to optimize images in parallel easily and efficiently!