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
This repository provides an easy way to train your models on the datasets of DCASE task 1.
Implementation of build an LLM from scratch by Sebastian Raschka.
Develop Python Apps in Kubernetes with Okteto
🚀 Unified NLP Pipelines for Language Models
The elegant integration of huggingface/nlp and fastai2 and handy transforms using pure huggingface/nlp
Comprehensive, scalable ML inference architecture using Amazon EKS, leveraging Graviton processors for cost-effective CPU-based inference and GPU instances for accelerated inference. Guidance provides a complete end-to-end platform for deploying LLMs with agentic AI capabilities, including RAG and MCP
A collection of simple transformer based chatbots.
Knowledge base Q&A program using LangChain for retrieval-augmented prompting and PGVector as vector store.
huggingface dataset with remote download support
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