Antoni Baum's Projects
Noah Research
Automatically upload your Hearts of Iron IV (support for more Paradox games to come) mod to Steam Workshop.
DEVELOPER GITHUB for the After the End Fan Fork. Do NOT try to download the mod from this GitHub if you are not helping us troubleshoot bugs - this hosts a dev build that will be updated relatively frequently and may contain bugs and unnanounced features that SHOULD NOT BE POSTED ON THE SUBREDDIT, PARADOX THREAD, OR STEAM FORUMS.
A practice git repository where you can eff up as much as you'd like plus work with a real, living, breathing person on the other side. Here we learn all things git. Feel free to send Pull Requests to see what it's like when someone asks you "Can you squash your commits for us" and you're all like "How the hell do I do that?"
An open source, low-code machine learning library in Python
Hellwig's method/method of the capacity of information bearers for Python.
PyImpetus is a Markov Blanket based feature selection algorithm that produces the best possible combination of features by considering feature performance both individually as well as conditioned on other, already selected features.
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
Generate binary decision trees; reasoning for decision trees.
A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Run deepspeed on ray serve
Distributed skorch on Ray Train
RayDP: Distributed data processing library that provides simple APIs for running Spark on Ray and integrating Spark with distributed deep learning and machine learning frameworks.
RWKV is a RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
scikit-learn: machine learning in Python
Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application
Sequential model-based optimization with a `scipy.optimize` interface
📦 A Human's Ultimate Guide to setup.py.
A unified framework for machine learning with time series
Python package for alternate true random number generator using sources provided by either TRNG online services, plaintext uint8 files (separated by whitespace) or collections of ints.
A Docker container to run Steam headless
Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes
Terra Invicta mod - makes AI space combat Evasion chance configurable.
Terra Invicta mod - change the formula for miltech calculation after unification.
Large Language Model Text Generation Inference