Machine Learning – Software Engineering Daily provides machine-learning models, research, training resources, or evaluation tools.
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TypeScript SDK to easily call 100+ LLMs using OpenAI's format.
Using Low-rank adaptation to quickly fine-tune diffusion models.
LlamaIndex is a data framework for your LLM applications.
Provides a central interface to connect your LLM's with external data.
A header-only C++11 Neural Network library. Low dependency, native traditional chinese document.
Lightly is a computer vision framework for self-supervised learning.
Lifelines is a complete survival analysis library, written in pure Python.
LAION provides machine-learning models, research, training resources, or evaluation tools.
LabNotebook is a tool that allows you to flexibly monitor, record, save, and query all your machine learning experiments.
A weekly news and interview show with insight from the Kubernetes community.
Capture your ideas, connect them, and grow them into something you can actually use. AI that works alongside your thinking, not instead of it.
A python library for doing approximate and phonetic matching of strings.
Framework to connect a flow of ML models by applying graph theory.
AI-native database built for LLM applications, providing incredibly fast vector and full-text search.
A framework for elegantly configuring complex applications.
How AI Fails Us Edmond & Lily Safra Center for Ethics provides machine-learning models, research, training resources, or evaluation tools.
Helps find, analyze or synthesize information for research and knowledge discovery.
GPT Mobile is an Android app that can chat with multiple LLMs at once! Currently supports ChatGPT, Anthropic Claude, and Google Gemini.
Magically append context to your GPT prompts. No more generic responses.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Memory-based NLP suite developed for Dutch: PoS tagger, lemmatiser, dependency parser, NER, shallow parser, morphological analyzer.
Open source, high performance fine tuning as a service for GPT4 quality models with 5x lower latency and 3x lower cost.
Friendly Federated Learning Framework.