Manalyzer: End-to-end Automated Meta-analysis with Multi-agent System
A lightweight post-training framework for LLMs and VLMs. 51 algorithms, 38 verified models. Scales with DeepSpeed, vLLM, and Ray.
Network-faithful simulation of LLM serving and training deployments
Set of fast LINQ-like extension methods for arrays and lists. Fine-tune your code for the maximum performance.
This repository provides an easy way to train your models on the datasets of DCASE task 1.
Investigating the role of pre-training dataset size and diversity on the performance of single-cell foundation models
Implementation of build an LLM from scratch by Sebastian Raschka.
Fine-tuning open-source large and small instruct/chat language models (LLMs & SLMs) from the Hugging Face Model Hub using public datasets.
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