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ML @hzdr | xkcd 1838
- Dresden, Germany
- https://orcid.org/0000-0003-1354-0578
- in/steve-schmerler-b95812313
Highlights
- Pro
Stars
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…
Image-to-Image Translation in PyTorch
Luigi is a Python module that helps you build complex pipelines of batch jobs. It handles dependency resolution, workflow management, visualization etc. It also comes with Hadoop support built in.
Code samples for my book "Neural Networks and Deep Learning"
Transparent proxy server that works as a poor man's VPN. Forwards over ssh. Doesn't require admin. Works with Linux and MacOS. Supports DNS tunneling.
Style transfer, deep learning, feature transform
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
Distributed Asynchronous Hyperparameter Optimization in Python
Efficiently computes derivatives of NumPy code.
Jupyter Notebooks as Markdown Documents, Julia, Python or R scripts
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
A sample project that exists for PyPUG's "Tutorial on Packaging and Distributing Projects"
Tutorial material on the scientific Python ecosystem
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Python dictionaries with advanced dot notation access
Auto-detect the connected display hardware and load the appropriate X11 setup using xrandr
Message Passing Neural Networks for Molecule Property Prediction
Uncertainty Toolbox: a Python toolbox for predictive uncertainty quantification, calibration, metrics, and visualization
An implementation of chunked, compressed, N-dimensional arrays for Python.
A deep learning package for many-body potential energy representation and molecular dynamics
Python package for compiling and analyzing quantum algorithms to simulate electronic structures.
High-quality implementations of standard and SOTA methods on a variety of tasks.