HI
SciML/HighDimPDE.jl
A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs without the curse of dimensionality
84 10 +0/wk
GitHub
deep-learning deepbsde differential-equations feynman-kac julia machine-learning neural-networks pde pde-solver scientific-machine-learning sciml
Trend
0
Star & Fork Trend (13 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
SciML/HighDimPDE.jl has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | HighDimPDE.jl | neuraldeep | claude-plugins | spectralquant |
|---|---|---|---|---|
| Stars | 84 | 84 | 84 | 84 |
| Forks | 10 | 10 | 5 | 11 |
| Weekly Growth | +0 | +1 | +0 | +9 |
| Language | Julia | TypeScript | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | N/A | Apache-2.0 | MIT |
Capability Radar vs neuraldeep
HighDimPDE.jl
neuraldeep
Maintenance Activity 100
Last code push 2 days ago.
Community Engagement 60
Fork-to-star ratio: 11.9%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.