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Mobiuspace
- Shenzhen
- http://stormxuwz.github.io
Stars
A general fine-tuning kit geared toward diffusion models.
one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment
🎁 6,500,000+ Unsplash images made available for research and machine learning
A comprehensive collection of IQA papers
OpenMMLab Multimodal Advanced, Generative, and Intelligent Creation Toolbox. Unlock the magic 🪄: Generative-AI (AIGC), easy-to-use APIs, awsome model zoo, diffusion models, for text-to-image genera…
Collect super-resolution related papers, data, repositories
Hackers' Guide to Language Models
Examples and guides for using the OpenAI API
All-in-one & Easy-to-use. Integrate all your Xiaomi Smart Home - with a single integration and NO YAML files - into Home Assistant.
🗣️ Microsoft Edge TTS for Home Assistant, no need for app_key
Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommen…
Assembly of fundamental statistics implemented based on Apache Spark
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Implementation of End-To-End Memory Networks with Tensorflow for bAbI Dataset
Best Practices on Recommendation Systems
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Ready-to-run Docker images containing Jupyter applications
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
TensorFlow implementation of an arbitrary order Factorization Machine
Factorization Machines implementation with Tensorflow
Neural Attention Model for Abstractive Summarization
Tensorflow implementation of a Neural Attention Model for Abstractive Summarization.