Showing 41-60 of 215 projects
Automated Machine Learning with scikit-learn
The repository provides code and tools for running inference and fine-tuning with the Meta Segment Anything Model 3 (SAM 3).
This is an implementation of the Dreambooth technique for fine-tuning Stable Diffusion models.
Provides optimized TypeScript configurations for various runtime environments to extend in your project.
A library for fine-tuning diffusion models like Stable Diffusion using Low-Rank Adaptation (LoRA) for quick and efficient model personalization.
StarCoder is a Python library for fine-tuning and inference of large language models.
Official release of the InternLM series of large language models focused on building AI tools and chatbots.
A lightweight Windows optimization tool that includes performance tuning, service management, and system activation.
A flexible workflow orchestration platform that seamlessly integrates data, ML, and analytics stacks.
A Python library for processing and analyzing data with foundation models and large language models.
An open-source tool to visualize and fine-tune the memory/power configuration of AWS Lambda functions.
This project fine-tunes the LLaMA language model to follow instructions within 1 hour and 1.2M parameters.
RF-DETR is a SOTA real-time object detection and segmentation model architecture designed for fine-tuning.
torchtune is a PyTorch-native post-training library for fine-tuning and tuning machine learning models.
An open-source implementation of the Shazam audio fingerprinting algorithm for song recognition in Go.
This repository provides a curated collection of resources for Prompt Engineering with a focus on large language models like ChatGPT and GPT-3.
Open-source library for easily training and fine-tuning state-of-the-art computer vision models.
An instruction-tuned LLM with Chinese medical knowledge for AI-powered healthcare applications.
A powerful open-source tweaker for fine-tuning Windows 10 & Windows 11 for performance and customization.
A Tensorflow solution for Named Entity Recognition (NER) using the BERT-BiLSTM-CRF model with BERT fine-tuning.
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