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Lux.jl
Explicitly Parameterized Neural Networks in JuliaRayTracer.jl
Differentiable RayTracing in JuliaWandb.jl
Unofficial Julia bindings for logging experiments to wandb.aiFluxMPI.jl
Distributed Data Parallel Training of Deep Neural NetworksFastStyleTransfer.jl
Fast Neural Style Transfer in JuliaDeepLearningBenchmarks
Benchmarks across Deep Learning Frameworks in Julia and PythonSimpleConfig.jl
A simple way to specify experiment configurationsLocalRegNeuralDE.jl
Local regularization of Neural Differential Equationssmthesis
On efficient training and inference of Neural Differential EquationsCNNVisualize.jl
CNN Visualizations in Fluxcs335-compiler
CS335 Compilers IITK Course ProjectML_DL_Assignments
Machine Learning And Deep Learning Basics covered by working on Commonplace DatasetsDeepDream.jl
Implementation of Google's Deep Dream in Julia using FluxESC101-lab-Y17
ESC101 IIT Kanpur Lab Assignment SolutionsRobustNonlinearSolvers.jl
Testing out Nonlinear Solvers that Automatically Switch between Discrete and Continuous VariantsNNPACK.jl
Julia wrapper for NNPACKhybrid_recommender
BatchedNonlinearSolve.jl
Test bed for batched non linear solve algorithms (mostly for machine learning applications)MURA.jl
Densenet and Other Models on the MURA (musculoskeletal radiographs) Dataset using FluxLove Open Source and this site? Check out how you can help us