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TranslatedHands-on 🐍 web crawlers for many kinds of websites and e-commerce data 🕷. Includes 🕸: Taobao products, WeChat official accounts, Dianping, Qichacha, job recruitment sites, Xianyu, Alibaba tasks, Cnblogs, Weibo, Baidu Tieba, Douban movies, Baotu (ibaotu.com), Quanjing (quanjing.com), Douban music, a provincial drug administration, Sohu News, machine learning text collection, FOFA asset collection, Autohome, National Bureau of Statistics, Baidu keyword indexed-page counts, spider pool directories, Toutiao (Today's Headlines), Douban movie reviews, Ctrip, Xiaomi App Store, Anjuke, Tujia homestays ❤️❤️❤️. WeChat crawler showcase project:

  • python3
  • crawler
  • baidu-tieba
  • taobao-spider

[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

Eleven Claude skills that run a YouTube channel: scripts off 21 hook formulas with a scored hook, title and thumbnail linted as one pairing, an edit decision list from your transcript, a retention reader that finds where viewers actually leave, a Shorts cutter, and a virality engine. Free, MIT.

Dockerized OpenAI-compatible wrapper for Kokoro-82M text-to-speech w/multiplatform CPU, AMD, NVIDIA GPU PyTorch; multi-speaker, clone-tuning, caption timestamps, SSML, websockets, optional readalong web UI

SwinIR: Image Restoration Using Swin Transformer (official repository)

  • image-super-resolution
  • image-denoising
  • compression-artifact-reduction
  • image-deblocking

Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes

  • privacy-protection
  • privacy-enhancing-technologies
  • face-recognition
  • adversarial-machine-learning

This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://learn.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.

  • python
  • azure
  • azure-sdk
  • hacktoberfest

A unified library of SOTA model optimization techniques like quantization, distillation, pruning, neural architecture search, speculative decoding, etc. It compresses deep learning models for downstream deployment frameworks like TensorRT-LLM, TensorRT, vLLM, etc. to optimize inference speed.