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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 JuliaRegNeuralDE.jl
Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" (ICML 2021)DeepLearningBenchmarks
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 ProjectDeepDream.jl
Implementation of Google's Deep Dream in Julia using FluxML_DL_Assignments
Machine Learning And Deep Learning Basics covered by working on Commonplace DatasetsESC101-lab-Y17
ESC101 IIT Kanpur Lab Assignment SolutionsRobustNonlinearSolvers.jl
Testing out Nonlinear Solvers that Automatically Switch between Discrete and Continuous Variantshybrid_recommender
MURA.jl
Densenet and Other Models on the MURA (musculoskeletal radiographs) Dataset using FluxBatchedNonlinearSolve.jl
Test bed for batched non linear solve algorithms (mostly for machine learning applications)Love Open Source and this site? Check out how you can help us