Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
- calibration
- decision-model
- jev
- jev-model
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Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
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DNABERT: pre-trained Bidirectional Encoder Representations from Transformers model for DNA-language in genome
A computer, compiled into the weights of a language model. An exact CPU inside Qwen3.5-4B, with Gated DeltaNet state as RAM.
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
Extract knowledge from all information sources using gpt and other language models. Index and make Q&A session with information sources.
[ECCV 2026] Official implementation of "HRDiT: Training-Free High-Resolution Image Generation with Off-the-Shelf Diffusion Transformer Models"
:sunrise: A comprehensive, cutting-edge open-source framework for next-generation Transformers, with compute-matched benchmarking and a platform for autonomous architecture research.
Official implementation of "AReA: Adaptive Receptive-Field Attention for Efficient High-Resolution Diffusion Transformers"
Python package implementing ML feature engineering and pre-processing for polars or pandas dataframes.
Universal 1d/2d data containers with Transformers functionality for data analysis.
Code and data for the paper "Evaluating German Transformer Language Models with Syntactic Agreement Tests" (Zaczynska et al., 2020)
A minimalistic codebase for training NLG models from HuggingFace Transformers using PyTorch Lightning.