A Collection of Awesome Generative AI Applications.
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Fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth.
Agent techniques to augment your LLM and push it beyond its limits.
Create. Use. Share. ChatGPT prompts.
Uniform deep learning inference framework for mobile, desktop and server.
Works with speech, voice, music or other audio using machine-learning models.
Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.
A Java implementation of Twitter's text processing library.
Any URL to clean markdown for LLMs. Free API, no signup required. Strips JS/CSS and outputs LLM-ready content.
Minimize LLM token complexity to save API costs and model computations.
"leaderboard Comparing LLM Performance at Producing Hallucinations when Summarizing Short Documents".
Minimalist neural network library optimized for sparse data and single machine environments.
AutoML algorithm tool chain by Huawei Noah's Arb Lab.
Enterprise-Grade Graph RAG for Secure, On-Premise AI with Verifiable Attribution.
Some of the python libraries were cut-and-pasted from.
Machine Learning Operations - An awesome list of references for MLOps.
A comprehensive testing and evaluation framework for voice agents across language models, prompts, and agent personas.
Cloud Native Batch System (Project under CNCF).
Open-source project that supports deploying, serving, monitoring, or operating AI and machine-learning systems.
Open source framework for debugging LLM agents and RAG pipelines with a 16-mode ProblemMap and practical triage checklists.
An implementation of Dell Zhang's solution to Wikipedia's Participation Challenge on Kaggle.
Tokenizers for Natural Language Processing in Julia.
Word Embeddings: the full implementation of word2vec, GloVe in Go.
A Julia package for Princeton's WordNet.