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An NLP library for Uralic languages such as Finnish, Skolt Sami, Moksha and so on. Also supporting some non-Uralic languages such as Spanish, French, Arabic, Swedish, Norwegian, Russian and English. LLMs, FSTs and More!
RootPainter: Deep Learning Segmentation of Biological Images with Corrective Annotation
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
A package to simulate, filter, and estimate DSGE models with occasionally binding constraints
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
A mini client/server implementation of CoAP (Constrained Application Protocol) into MicroPython
A Python toolkit for generating human-readable timetables from GTFS data; uses PANDAS and gtfs_kit
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
The Scenario Architect provides a lightweight graphical user interface that allows a straightforward realization and manipulation of concrete driving testing scenarios. Exemplary usecases are the validation of an online verification framework or training of an prediction algorithm.
Plan and train German transformer models.
Teaches students Robot programming in python by having them create code that passes the unit tests
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.