Dependency Packages
-
TensorFlow.jl884A Julia wrapper for TensorFlow
-
DSGE.jl864Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
-
FastAI.jl589Repository of best practices for deep learning in Julia, inspired by fastai
-
GeometricFlux.jl348Geometric Deep Learning for Flux
-
ADCME.jl286Automatic Differentiation Library for Computational and Mathematical Engineering
-
MAT.jl278Julia module for reading MATLAB files
-
VegaLite.jl267Julia bindings to Vega-Lite
-
NeuralOperators.jl262DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia
-
Bio.jl261[DEPRECATED] Bioinformatics and Computational Biology Infrastructure for Julia
-
MLDatasets.jl227Utility package for accessing common Machine Learning datasets in Julia
-
ProtoBuf.jl205Julia protobuf implementation
-
SeaPearl.jl168Julia hybrid constraint programming solver enhanced by a reinforcement learning driven search.
-
PProf.jl155Export Julia profiles to the pprof format
-
Queryverse.jl153A meta package for data science in julia
-
ONNX.jl139Read ONNX graphs in Julia
-
DataVoyager.jl128Julia wrapper for the Voyager data exploration tool
-
OpenStreetMapX.jl123OpenStreetMap (*.osm) support for Julia 1.0 and up
-
FluxTraining.jl119A flexible neural net training library inspired by fast.ai
-
MIPVerify.jl113Evaluating Robustness of Neural Networks with Mixed Integer Programming
-
MRIsim.jl111Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.
-
KomaMRI.jl111Koma is a Pulseq-compatible framework to efficiently simulate Magnetic Resonance Imaging (MRI) acquisitions. The main focus of this package is to simulate general scenarios that could arise in pulse sequence development.
-
TensorBoardLogger.jl102Easy peasy logging to TensorBoard with Julia
-
MagNav.jl101MagNav: airborne Magnetic anomaly Navigation
-
FundamentalsNumericalComputation.jl97Core functions for the Julia (2nd) edition of the text Fundamentals of Numerical Computation, by Driscoll and Braun.
-
JDF.jl88Julia DataFrames serialization format
-
VariantVisualization.jl84Julia package powering VIVA, our tool for visualization of genomic variation data. Manual:
-
AdFem.jl79Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling
-
GeneticsMakie.jl77🧬High-performance genetics- and genomics-related data visualization using Makie.jl
-
MatrixDepot.jl74An Extensible Test Matrix Collection for Julia
-
DeepQLearning.jl72Implementation of the Deep Q-learning algorithm to solve MDPs
-
Mimi.jl66Integrated Assessment Modeling Framework
-
JutulDarcy.jl62Darcy flow and reservoir simulator based on Jutul.jl
-
ADSeismic.jl62A General Approach to Seismic Inversion Problems using Automatic Differentiation
-
COBRA.jl60High-level, high-performance, constraint-based reconstruction and analysis in Julia
-
TypeDBClient.jl51A client interface to read from and write to the TypeDB Knowledge Graph
-
Neuroimaging.jl48Neuroimaging in Julia
-
Elly.jl46Hadoop HDFS and Yarn client
-
PopGen.jl46Population Genetics in Julia
-
SnpArrays.jl44Compressed storage for SNP data
-
ONNXNaiveNASflux.jl43Import/export ONNX models
Loading more...