Sceki
Astrodynamics, space engineering, applied machine learning
European Space AgencyNoordwijk, the Netherlands
Sceki's Stars
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
google/styleguide
Style guides for Google-originated open-source projects
karpathy/nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
google-research/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
karpathy/minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
mamba-org/mamba
The Fast Cross-Platform Package Manager
ajalt/fuckitpy
The Python error steamroller.
online-ml/river
š Online machine learning in Python
pytorch/torchchat
Run PyTorch LLMs locally on servers, desktop and mobile
LeelaChessZero/lc0
The rewritten engine, originally for tensorflow. Now all other backends have been ported here.
ContinualAI/avalanche
Avalanche: an End-to-End Library for Continual Learning based on PyTorch.
casadi/casadi
CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.
thunil/Physics-Based-Deep-Learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
DiffEqML/torchdyn
A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods
karpathy/pytorch-normalizing-flows
Normalizing flows in PyTorch. Current intended use is education not production.
conda-forge/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
VincentStimper/normalizing-flows
PyTorch implementation of normalizing flow models
NeuroDiffGym/neurodiffeq
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
AdamCobb/hamiltorch
PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
frntc/RAD
RAD Expansion Unit for C64/C128
PlaytikaOSS/tft-torch
A Python library that implements דTemporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecastingד
esa/dSGP4
dSGP4: differentiable SGP4. Supports differentiability, ML integration & embarassingly parallel computations
esa/SpOC3
The official GECCO 2024 Space Optimisation Competition (SpOC) organised by the Advanced Concepts Team (ACT).
esa/cascade
Propagate the evolution of large number of orbiting objects while detecting reliably conjunctions and collisions.
SWxTREC/pymsis
Python interface to the NRLMSIS codes
spaceml-org/DTACSNet
Public implementation of DTACS models
st-bender/pynrlmsise00
Python interface for the NRLMSISE-00 empirical neutral atmosphere model
esa/thermonets
Code to train and test ThermoNets: a neural, differentiable, model for the thermosphere density.
esa/kep3