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Train ImageNet *fast* in 500 lines of code with FFCV
Code for the paper <Improving PINNs By Algebraic Inclusion of Boundary and Initial Conditions>
A pytorch implementation of Fourier Analysis Networks (FAN)
A TensorFlow implementation of the Differentiable Neural Computer.
Powerful, efficient particle trajectory analysis in scientific Python.
MDAnalysis is a Python library to analyze molecular dynamics simulations.
[TMLR 2023] Training and simulating MD with ML force fields
Tool to read a logfile produced by LAMMPS into a simple python data structure with a get()-function providing the log data.
Pizza.py is a loosely integrated collection of tools written in Python, many of which provide pre- and post-processing capability for the LAMMPS molecular dynamics package.
Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Flexible Inference for Predictive Coding Networks in JAX.
Deep learning and Bayesian approach applied to enzyme turnover number for the improvement of enzyme-constrained genome-scale metabolic models (ecGEMs) reconstruction
Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.
LoRA for protein language models
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
Research of a deep predictive coding model for unsupervised representation learning from video and audio data.
A Python Implementation of Predictive Coding (Whittington & Bogacz 2017)
Towards Machine Unlearning Benchmarks: Forgetting the Personal Identities in Facial Recognition Systems
Improve keyboard comfort and usability with advanced customization
Training and inference code for ShEPhERD: Diffusing shape, electrostatics, and pharmacophores for bioisosteric drug design [ICLR 2025 oral]
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
An example of using uv in Docker images