Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
- autodiff
- deep-learning
- machine-learning
- rust
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Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.
Efficiently computes derivatives of NumPy code.
Official git repository for Biopython (originally converted from CVS)
Official repository for the Boltz biomolecular interaction models
Eclipse SUMO is an open source, highly portable, microscopic and continuous traffic simulation package designed to handle large networks. It allows for intermodal simulation including pedestrians and comes with a large set of tools for scenario creation.
Fast and efficient CSS optimizer for node.js and the Web
The official sources for the RDKit library
Trainable, memory-efficient, and GPU-friendly PyTorch reproduction of AlphaFold 2
An efficient C++20 GPU numerical computing library with Python-like syntax
Official Repository for the Uni-Mol Series Methods
Official implementation for HyenaDNA, a long-range genomic foundation model built with Hyena
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.
Official release of the ProGen models
The open source air traffic simulator
[ICLR 2024] DNABERT-2: Efficient Foundation Model and Benchmark for Multi-Species Genome
Official repository for the ProteinGym benchmarks
A Practical and Efficient NCBI Taxonomy Toolkit, also supports creating NCBI-style taxdump files for custom taxonomies like GTDB/ICTV
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)
GraphDTA: Predicting drug-target binding affinity with graph neural networks
Source code for "DeepDTA: deep drug-target binding affinity prediction"
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
The official NFFT library repository
Accurate and efficient spot detection for microscopy data