Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable...
Code for the paper "Language Models are Unsupervised Multitask Learners" - openai/gpt-2: Code for the paper "Language Models are Unsupervised Multitask Learners"
Private Q&A and summarization of documents+images or chat with local GPT, 100% private, Apache 2.0. Supports Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://codellama.h2o.ai...
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so. - GitHub - LAION-AI/Open-Assistant: OpenAssista...
Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax. - GitHub - young-geng/EasyLM: Large language models (LLM...
StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation - cumulo-autumn/StreamDiffusion: StreamDiffusion: A Pipeline-Level Solution for Real-Time Interactive Generation
Streamlined interface for generating images with AI in Krita. Inpaint and outpaint with optional text prompt, no tweaking required. - GitHub - Acly/krita-ai-diffusion: Streamlined interface for gen...
Join leading teams building the next wave of world-changing applications. Use pre-built NLP solutions or build your own custom solutions with large language models like GPT-J, Codegen, T5, GPT-NeoX, and more.
Text understanding / text generation (NLP) API, for NER, sentiment analysis, emotion analysis, text classification, summarization, dialogue summarization, question answering, text generation, image generation, translation, language detection, grammar and spelling correction, intent classification, paraphrasing and rewriting, code generation, chatbot/conversational AI, blog post generation, product description and ad generation, automatic speech recognition api, speech to text, semantic similarity, semantic search, Part-Of-Speech tagging, tokenization, lemmatization, and embeddings. Fine-tune and deploy your own AI models. No DevOps required.