stormxuwz

stormxuwz's Stars

• lixinustc/Awesome-diffusion-model-for-image-processing

  one summary of diffusion-based image processing, including restoration, enhancement, coding, quality assessment

  61750

• cloneofsimo/inversion_edits

  Language:Jupyter Notebook191

• unsplash/datasets

  🎁 5,400,000+ Unsplash images made available for research and machine learning

  Language:Jupyter Notebook2.4k121

• chaofengc/Awesome-Image-Quality-Assessment

  A comprehensive collection of IQA papers

  Language:TeX98664

• open-mmlab/mmagic

  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 generation, image/video restoration/enhancement, etc.

  Language:Jupyter Notebook6.9k1.1k

• ChaofWang/Awesome-Super-Resolution

  Collect super-resolution related papers, data, repositories

  2.5k353

• Nanbeige/Nanbeige

  Language:Python859

• fastai/lm-hackers

  Hackers' Guide to Language Models

  Language:Jupyter Notebook1.8k296

• DSXiangLi/DecryptPrompt

  总结Prompt&LLM论文，开源数据&模型，AIGC应用

  2.7k271

• openai/openai-cookbook

  Examples and guides for using the OpenAI API

  Language:MDX59.6k9.5k

• ha0y/xiaomi_miot_raw

  All-in-one & Easy-to-use. Integrate all your Xiaomi Smart Home - with a single integration and NO YAML files - into Home Assistant.

  Language:Python2.2k230

• hasscc/yeelight-pro

  💡 Yeelight Pro for Home Assistant

  Language:Python545

• hasscc/meiju

  Midea Meiju (美的美居) For HomeAssistant

  Language:Lua767

• hasscc/hass-edge-tts

  🗣️ Microsoft Edge TTS for Home Assistant, no need for app_key

  Language:Python35162

• guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising

  Awesome Deep Learning papers for industrial Search, Recommendation and Advertisement. They focus on Embedding, Matching, Ranking (CTR/CVR prediction), Post Ranking, Large Model (Generative Recommendation, LLM), Transfer learning, Reinforcement Learning and so on.

  Language:Python1.4k225

• intel-spark/StatisticsOnSpark

  Assembly of fundamental statistics implemented based on Apache Spark

  Language:Scala3114

• huggingface/tokenizers

  💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

  Language:Rust9k796

• CLUEbenchmark/CLUEDatasetSearch

  搜索所有中文NLP数据集，附常用英文NLP数据集

  Language:Python4.2k611

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python134k26.9k

• rener1199/deep_memory

  Language:Python6219

• 1202kbs/MemN2N-Tensorflow

  Implementation of End-To-End Memory Networks with Tensorflow for bAbI Dataset

  Language:Jupyter Notebook126

• UIC-Paper/MIMN

  Language:Python28393

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19.2k3.1k

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.5k3k

• jupyter/docker-stacks

  Ready-to-run Docker images containing Jupyter applications

  Language:Python8k3k

• BayesWitnesses/m2cgen

  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

  Language:Python2.8k240

• geffy/tffm

  TensorFlow implementation of an arbitrary order Factorization Machine

  Language:Jupyter Notebook780176

• babakx/fm_tensorflow

  Factorization Machines implementation with Tensorflow

  Language:Jupyter Notebook14353

• facebookarchive/NAMAS

  Neural Attention Model for Abstractive Summarization

  Language:Lua914260

• webblearning/Neural-Attention-Model-For-Abstractive-Sentence-Summarization

  Tensorflow implementation of a Neural Attention Model for Abstractive Summarization.

  Language:Python108