phd-resources / phd-resources.github.ioLinks
Not the research toolkit you deserve, but the one you need right now
☆47Updated last year
Alternatives and similar repositories for phd-resources.github.io
Users that are interested in phd-resources.github.io are comparing it to the libraries listed below
Sorting:
- Course 5SSD0 - Bayesian Machine Learning and Information Processing☆51Updated 5 months ago
- Not the research toolbox you deserve, but the one you need right now.☆62Updated 2 years ago
- ☆26Updated last week
- ☆30Updated 3 weeks ago
- Neural parameter calibration for multi-agent models. Uses neural networks to estimate marginal densities on parameters and networks☆32Updated 2 weeks ago
- Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia☆65Updated last year
- Data Science for Dynamical System Course☆146Updated 2 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- A GPU-Accelerated First-Order LP Solver☆127Updated last week
- A workshop on writing good scientific/research code: reproducible, re-traceable, readable, extendable, and well-documented.☆282Updated 9 months ago
- A minimal JAX library for connectivity modelling at scale☆11Updated last week
- ☆91Updated last month
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆131Updated this week
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- ☆36Updated 2 years ago
- Julia for Machine Learning course at TU Berlin☆269Updated 3 months ago
- Intensive Julia workshop that takes you from zero to hero☆202Updated 3 months ago
- Convex Optimization under Uncertainty☆27Updated 3 weeks ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated 2 months ago
- Predictive Uncertainty Quantification through Conformal Prediction for Machine Learning models trained in MLJ.☆145Updated 5 months ago
- An introductory 101 series to get to know the power of Julialang☆128Updated 2 years ago
- Stochastic Optimization under Uncertainty in Python.☆36Updated 8 months ago
- Reservoir computing utilities for scientific machine learning (SciML)☆225Updated last week
- ☆35Updated 4 years ago
- Visualize linear programming at https://lpviz.net☆30Updated 2 weeks ago
- Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.☆278Updated last month
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Updated 2 years ago
- Lectures on Quantitative Economics Using JAX☆48Updated last week
- Tufte-style beamer template with Julia integration☆140Updated 2 years ago
- Guidelines and recommendations for writing papers or creating scientific presentations. This is the work of Jean-Yves LeBoudec.☆18Updated 6 years ago