AnnoTheia is a data annotation toolkit that identifies when a person speaks in a scene and transcribes their speech, also offering flexibility to replace modules for different languages.
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Updated
Jul 16, 2024 - Python
AnnoTheia is a data annotation toolkit that identifies when a person speaks in a scene and transcribes their speech, also offering flexibility to replace modules for different languages.
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
A WebUI for Efficient Fine-Tuning of 100+ LLMs (ACL 2024)
Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
OneTrainer is a one-stop solution for all your stable diffusion training needs.
Synthetic data augmentation technique via LLM for Automatic Speech Recognition fine tuning.
LlamaIndex is a data framework for your LLM applications
Open source data anonymization and synthetic data orchestration for developers. Create high fidelity synthetic data and sync it across your environments.
Phi-3 for Mac: Locally-run Vision and Language Models for Apple Silicon
This repository consists of two models, one from scratch with the help of sklearn, and the other from HuggingFace. Find more info in the README.
dstack is an easy-to-use and flexible container orchestrator for running AI workloads in any cloud or data center.
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
This is the UI for SkywardAI APIs aggregator, written in native javascript.
Personal Project: MPP-Qwen14B & MPP-Qwen-Next(Multimodal Pipeline Parallel based on Qwen-LM). Support [video/image/multi-image] {sft/conversations}. Don't let the poverty limit your imagination! Train your own 8B/14B LLaVA-training-like MLLM on RTX3090/4090 24GB.
APIs aggregator for inference, fine-tuning and build models.
Multi-LoRA inference server that scales to 1000s of fine-tuned LLMs
This repository provides an easy way to train your models on the datasets of DCASE task 1.
Easy and lightning fast training of 🤗 Transformers on Habana Gaudi processor (HPU)
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