Lucaman99's Stars
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
KindXiaoming/pykan
Kolmogorov Arnold Networks
triton-lang/triton
Development repository for the Triton language and compiler
HigherOrderCO/HVM
A massively parallel, optimal functional runtime in Rust
hwayne/awesome-cold-showers
For when people get too hyped up about things
jackyzha0/quartz
🌱 a fast, batteries-included static-site generator that transforms Markdown content into fully functional websites
Peldom/papers_for_protein_design_using_DL
List of papers about Proteins Design using Deep Learning
generatebio/chroma
A generative model for programmable protein design
trevor-vincent/awesome-high-performance-computing
A curated list of awesome high performance computing resources
SciML/Catalyst.jl
Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.
Mattie/cataclysm
Cataclysm - Code generation library for the end game
JuliaMolSim/Molly.jl
Molecular simulation in Julia
jasonkyuyim/se3_diffusion
Implementation for SE(3) diffusion model with application to protein backbone generation
PrincetonUniversity/athena
Athena++ radiation GRMHD code and adaptive mesh refinement (AMR) framework
thofma/Hecke.jl
Computational algebraic number theory
Zmalski/NHL-API-Reference
Unofficial reference for the NHL API endpoints.
FourierFlows/FourierFlows.jl
Tools for building fast, hackable, pseudospectral partial differential equation solvers on periodic domains
e3nn/e3nn-jax
jax library for E3 Equivariant Neural Networks
stackwiseai/stackwise
The open source AI app collection
PennyLaneAI/catalyst
A JIT compiler for hybrid quantum programs in PennyLane
atomistic-machine-learning/G-SchNet
G-SchNet - a generative model for 3d molecular structures
molmod/psiflow
scalable molecular simulation
THUDM/ProteinLM
Protein Language Model
Exawind/amr-wind
AMReX-based structured wind solver
XanaduAI/GradDFT
GradDFT is a JAX-based library enabling the differentiable design and experimentation of exchange-correlation functionals using machine learning techniques.
EagleoutIce/tikzpingus
🐧 Penguins in LaTeX with TikZ
EQuS/jaxquantum
jax + quantum dynamics simulations
aspuru-guzik-group/SCILLA
Automated discovery of superconducting circuits
girving/ray
Formalizing results about the Mandelbrot set in Lean
Matematija/auto-xc
Automatic differentiation tools for interfacing custom density functionals with libXC.