Pinned Repositories
fecr
Easy interoperability with Automatic Differentiation libraries through NumPy interface to Firedrake and FEniCS
fenics-pymc3
Differentiable interface to FEniCS for PyMC3
firedrake-ts
The firedrake-ts library provides an interface to PETSc TS for the scalable solution of DAEs arising from the discretization of time-dependent PDEs.
jax-fenics
Differentiable interface to FEniCS for JAX
jax-fenics-adjoint
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
jax-firedrake
Differentiable interface to Firedrake for JAX
PyFenicsAD.jl
Automatic differentiation of FEniCS and Firedrake models in Julia
IvanYashchuk's Repositories
IvanYashchuk/jax-fenics-adjoint
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
IvanYashchuk/jax-fenics
Differentiable interface to FEniCS for JAX
IvanYashchuk/fenics-pymc3
Differentiable interface to FEniCS for PyMC3
IvanYashchuk/fecr
Easy interoperability with Automatic Differentiation libraries through NumPy interface to Firedrake and FEniCS
IvanYashchuk/jax-firedrake
Differentiable interface to Firedrake for JAX
IvanYashchuk/PyFenicsAD.jl
Automatic differentiation of FEniCS and Firedrake models in Julia
IvanYashchuk/firedrake-ts
The firedrake-ts library provides an interface to PETSc TS for the scalable solution of DAEs arising from the discretization of time-dependent PDEs.
IvanYashchuk/numpy-fenics-adjoint
Easy interoperability with Automatic Differentiation libraries through NumPy interface to FEniCS adjoint
IvanYashchuk/firedrake
Firedrake is an automated system for the portable solution of partial differential equations using the finite element method (FEM)
IvanYashchuk/litgpt
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
IvanYashchuk/torchdynamo
A Python-level JIT compiler designed to make unmodified PyTorch programs faster.
IvanYashchuk/builder
Continuous builder and binary build scripts for pytorch
IvanYashchuk/conda-smithy
The tool for managing conda-forge feedstocks.
IvanYashchuk/cudnn-feedstock
A conda-smithy repository for cudnn.
IvanYashchuk/cupy
NumPy-like API accelerated with CUDA
IvanYashchuk/functorch
functorch is JAX-like composable function transforms for PyTorch.
IvanYashchuk/Fuser
A Fusion Code Generator for NVIDIA GPUs
IvanYashchuk/Irksome
Solvers for Implicit Runge Kutta methods
IvanYashchuk/ivanyashchuk.github.io
IvanYashchuk/Liger-Kernel
Efficient Triton Kernels for LLM Training
IvanYashchuk/lightning-thunder
Source to source compiler for PyTorch. It makes PyTorch programs faster on single accelerators and distributed.
IvanYashchuk/numpy
The fundamental package for scientific computing with Python.
IvanYashchuk/pf-hub-benchmark3
Firedrake code for the https://pages.nist.gov/pfhub/benchmarks/benchmark3.ipynb/
IvanYashchuk/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
IvanYashchuk/pytorch-cpu-feedstock
A conda-smithy repository for pytorch-cpu.
IvanYashchuk/pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
IvanYashchuk/scipy-singledispatch
SciPy + functools.singledispatch
IvanYashchuk/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
IvanYashchuk/xla
Enabling PyTorch on Google TPU
IvanYashchuk/zlib-feedstock
A conda-smithy repository for zlib.