Ecosyste.ms: Issues
An open API service for providing issue and pull request metadata for open source projects.
GitHub / avik-pal issue stats
Total issues: 165
Total pull requests: 622
Merged pull request: 548
Average time to close issues: 3 months
Average time to close pull requests: 26 days
Average comments per issue: 2.11
Average comments per pull request: 1.96
Issues created
- SciML/NonlinearSolve.jl: 22
- EnzymeAD/Enzyme.jl: 11
- torchgan/torchgan: 11
- FluxML/Flux3D.jl: 9
- SciML/BoundaryValueDiffEq.jl: 8
- SciML/DiffEqFlux.jl: 8
- SciML/LinearSolve.jl: 6
- JuliaGPU/CUDA.jl: 6
- SciML/DeepEquilibriumNetworks.jl: 6
- ericphanson/explicitimports.jl: 5
- SciML/Optimization.jl: 3
- SciML/NeuralPDE.jl: 3
- JuliaGPU/ArrayFire.jl: 3
- avik-pal/localregneuralde.jl: 3
- SciML/SimpleNonlinearSolve.jl: 3
- milescranmer/dispatchdoctor.jl: 3
- SciML/SciMLSensitivity.jl: 3
- avik-pal/regneuralde.jl: 2
- PumasAI/SimpleChains.jl: 2
- FluxML/Metalhead.jl: 2
- JuliaGPU/KernelAbstractions.jl: 2
- SciML/DataInterpolations.jl: 2
- SciML/SciMLBase.jl: 2
- JuliaComputing/MultiDocumenter.jl: 2
- gdalle/differentiationinterface.jl: 2
- cjdoris/packageextensioncompat.jl: 2
- JuliaReinforcementLearning/ReinforcementLearningEnvironments.jl: 1
- SciML/sciml.ai: 1
- JuliaLang/juliaup: 1
- SciML/PDEBase.jl: 1
- SciML/ADTypes.jl: 1
- SciML/.github: 1
- FluxML/model-zoo: 1
- FluxML/ParameterSchedulers.jl: 1
- bharathgs/Awesome-pytorch-list: 1
- ritchieng/the-incredible-pytorch: 1
- ShichenLiu/SoftRas: 1
- avik-pal/deeplearningbenchmarks: 1
- milescranmer/argumend.jl: 1
- anicusan/AcceleratedKernels.jl: 1
- JuliaDiff/PolyesterForwardDiff.jl: 1
- nathanaelbosch/TuePlots.jl: 1
- FluxML/Tracker.jl: 1
- archermarx/PartialFunctions.jl: 1
- JuliaDiff/TaylorDiff.jl: 1
- andrewjradcliffe/VectorizedReduction.jl: 1
- JuliaIO/ImageMagick.jl: 1
- avik-pal/FluxMPI.jl: 1
- JuliaGPU/GemmKernels.jl: 1
- JuliaGPU/Adapt.jl: 1
- JuliaInterop/ZMQ.jl: 1
- dfdx/Yota.jl: 1
- FluxML/NNlib.jl: 1
- SciML/RecursiveArrayTools.jl: 1
- JuliaGPU/AMDGPU.jl: 1
- jonniedie/ComponentArrays.jl: 1
- SciML/DiffEqBase.jl: 1
- SciML/SciMLBenchmarks.jl: 1
- SciML/OrdinaryDiffEq.jl: 1
- JuliaPackaging/Yggdrasil: 1
Pull requests created
- SciML/NonlinearSolve.jl: 117
- SciML/SimpleNonlinearSolve.jl: 38
- SciML/DiffEqBase.jl: 37
- torchgan/torchgan: 36
- SciML/BoundaryValueDiffEq.jl: 30
- SciML/SciMLBenchmarks.jl: 29
- JuliaDiff/SparseDiffTools.jl: 28
- SciML/SciMLBase.jl: 25
- SciML/LinearSolve.jl: 24
- SciML/DeepEquilibriumNetworks.jl: 24
- SciML/SciMLSensitivity.jl: 22
- avik-pal/RayTracer.jl: 12
- SciML/DiffEqFlux.jl: 12
- jonniedie/ComponentArrays.jl: 11
- SciML/SteadyStateDiffEq.jl: 11
- avik-pal/Wandb.jl: 10
- avik-pal/localregneuralde.jl: 9
- FluxML/model-zoo: 7
- SciML/OrdinaryDiffEq.jl: 6
- SciML/TruncatedStacktraces.jl: 6
- avik-pal/FluxMPI.jl: 6
- FluxML/Flux3D.jl: 6
- SciML/DiffEqCallbacks.jl: 6
- FluxML/Tracker.jl: 6
- LuxDL/LuxTestUtils.jl: 5
- SciML/LineSearch.jl: 5
- EnzymeAD/Enzyme.jl: 4
- JuliaArrays/ArrayInterface.jl: 4
- milescranmer/dispatchdoctor.jl: 4
- SciML/ADTypes.jl: 4
- FluxML/NNlib.jl: 4
- JuliaArrays/StaticArrays.jl: 4
- SciML/NeuralOperators.jl: 4
- SciML/NeuralPDE.jl: 4
- SciML/MaybeInplace.jl: 4
- SciML/SciMLOperators.jl: 3
- SciML/DiffEqProblemLibrary.jl: 3
- SciML/Sundials.jl: 3
- avik-pal/cs335-compiler: 3
- SciML/ModelingToolkitNeuralNets.jl: 2
- SciML/DataInterpolations.jl: 2
- SciML/FastAlmostBandedMatrices.jl: 2
- JuliaGPU/CuArrays.jl: 2
- JuliaParallel/MPI.jl: 2
- SciML/RecursiveArrayTools.jl: 2
- FluxML/FluxBench.jl: 2
- SciML/sciml.ai: 2
- FluxML/ONNX.jl: 1
- pjabardo/CurveFit.jl: 1
- JuliaSymbolics/Symbolics.jl: 1
- JuliaPackaging/Yggdrasil: 1
- ericphanson/explicitimports.jl: 1
- SciML/DiffEqOperators.jl: 1
- SciML/SciMLDocs: 1
- FluxML/NNlibCUDA.jl: 1
- SciML/StochasticDelayDiffEq.jl: 1
- avik-pal/autosparsediff.jl: 1
- PumasAI/DataInterpolations.jl: 1
- JuliaGPU/CUDA.jl: 1
- SciML/SciMLBook: 1
- SciML/DataDrivenDiffEq.jl: 1
- MikeInnes/zygote-paper: 1
- PumasAI/SimpleChains.jl: 1
- SciML/DelayDiffEq.jl: 1
- SciML/SymbolicIndexingInterface.jl: 1
- SciML/Optimization.jl: 1
- ritchieng/the-incredible-pytorch: 1
- avik-pal/reviewing-a-pull-request: 1
- avik-pal/github-slideshow: 1
- archermarx/PartialFunctions.jl: 1
- JuliaGPU/KernelAbstractions.jl: 1
- SciML/NonlinearSolveMINPACK.jl: 1
- NVIDIAGameWorks/kaolin: 1
- avik-pal/deeplearningbenchmarks: 1
- SciML/DiffEqDevTools.jl: 1
- JuliaDiff/ChainRules.jl: 1
- JuliaDiff/PolyesterForwardDiff.jl: 1
Maintainer
- SciML/NonlinearSolve.jl: 139
- torchgan/torchgan: 47
- SciML/SimpleNonlinearSolve.jl: 41
- SciML/DiffEqBase.jl: 38
- SciML/BoundaryValueDiffEq.jl: 38
- SciML/DeepEquilibriumNetworks.jl: 30
- SciML/LinearSolve.jl: 30
- SciML/SciMLBenchmarks.jl: 30
- SciML/SciMLBase.jl: 27
- SciML/SciMLSensitivity.jl: 25
- SciML/DiffEqFlux.jl: 20
- FluxML/Flux3D.jl: 15
- avik-pal/RayTracer.jl: 12
- avik-pal/localregneuralde.jl: 12
- SciML/SteadyStateDiffEq.jl: 11
Active Maintainer
- SciML/NonlinearSolve.jl: 112
- SciML/SimpleNonlinearSolve.jl: 30
- SciML/SciMLBenchmarks.jl: 27
- SciML/DiffEqBase.jl: 24
- SciML/LinearSolve.jl: 20
- SciML/SciMLBase.jl: 17
- SciML/BoundaryValueDiffEq.jl: 16
- SciML/SciMLSensitivity.jl: 13
- SciML/DiffEqFlux.jl: 12
- SciML/DeepEquilibriumNetworks.jl: 10
- SciML/NeuralPDE.jl: 7
- SciML/SteadyStateDiffEq.jl: 5
- SciML/LineSearch.jl: 5
- SciML/DiffEqCallbacks.jl: 4
- SciML/NeuralOperators.jl: 4
Issue Author Associations
- Member (101, 61.21%)
- None (30, 18.18%)
- Contributor (27, 16.36%)
- Owner (7, 4.24%)
Pull Request Author Associations
- Member (505, 81.19%)
- Contributor (68, 10.93%)
- Owner (44, 7.07%)
- None (4, 0.64%)
- Collaborator (1, 0.16%)
Top Issue Labels
- bug (24)
- good first issue (19)
- enhancement (11)
- help wanted (5)
- high priority (3)
- question (3)
- work in progress (2)
- new-algorithm (2)
- documentation (2)
- cuda array (2)
- backend (2)
- wontfix (1)
- v0.0.2 (1)
- good-first-issue (1)
- CUDA (1)
Top Pull Request Labels
- enhancement (11)
- high priority (7)
- bug (3)
- awaiting review (3)
- work in progress (3)
- awaiting merge (3)
- v0.0.2 (2)
- rocm (2)
- needs tests (1)
- feature (1)
- tests needed (1)
- do not merge (1)
- needs version bump (1)
- benchmark (1)
- cuda libraries (1)