Showing 121-140 of 166 projects
A cyberpunk-inspired CSS library that makes it easy to add a sci-fi vibe to web UI components.
A Python library for easy data augmentation of Chinese text corpora using the EDA (Easy Data Augmentation) technique.
A Hack library that provides a DSL for writing XML-like structures as valid Hack expressions.
Differentiable data augmentation techniques for efficient training of generative adversarial networks (GANs).
A curated list of advanced retrieval augmented generation (RAG) in Large Language Models.
LLM framework for synthesizing scientific literature via retrieval-augmented generation with academic paper indexing.
Comprehensive guide to learn Retrieval Augmented Generation (RAG) from basics to advanced.
A PyTorch template with implementations of classical CNNs, data augmentation, losses, and common ML algorithms.
A comprehensive survey on knowledge distillation techniques for large language models.
Official Pytorch implementation of CutMix regularizer for image augmentation
An open-source runtime for building and managing intelligent agents across local, cloud, and edge environments.
TrustRAG is a Python framework for building reliable and trusted Retrieval Augmented Generation (RAG) models.
A tutorial to build a RAG (Retrieval Augmented Generation) system from scratch using local LLMs and no black boxes.
Memory operating system for personalized AI agents with long-term memory and retrieval capabilities
A collection of awesome test-time (domain/batch/instance) adaptation methods for machine learning models.
An open-source tool to visualize your RAG (Retrieval Augmented Generation) models and workflows.
Develop and export WebXR experiences using Unity WebGL
A curated list of AI-powered web search tools and resources for developers and researchers.
A Python library that provides a super easy local implementation of the RAG (Retrieval-Augmented Generation) model with Ollama and email capabilities.
A Python library that implements the mixup data augmentation technique for improving model performance on the CIFAR-10 dataset.
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