🔥 Trending Repository: best-of-ml-python
📝 Description: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🔗 Repository URL: https://github.com/lukasmasuch/best-of-ml-python
🌐 Website: https://ml-python.best-of.org
📖 Readme: https://github.com/lukasmasuch/best-of-ml-python#readme
📊 Statistics:
🌟 Stars: 22.3K stars
👀 Watchers: 444
🍴 Forks: 3K forks
💻 Programming Languages: Not available
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: 🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
🔗 Repository URL: https://github.com/lukasmasuch/best-of-ml-python
🌐 Website: https://ml-python.best-of.org
📖 Readme: https://github.com/lukasmasuch/best-of-ml-python#readme
📊 Statistics:
🌟 Stars: 22.3K stars
👀 Watchers: 444
🍴 Forks: 3K forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#python #nlp #data_science #machine_learning #deep_learning #tensorflow #scikit_learn #keras #ml #data_visualization #pytorch #transformer #data_analysis #gpt #automl #jax #data_visualizations #gpt_3 #chatgpt
==================================
🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: BettaFish
📝 Description: 微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
🔗 Repository URL: https://github.com/666ghj/BettaFish
📖 Readme: https://github.com/666ghj/BettaFish#readme
📊 Statistics:
🌟 Stars: 2.1K stars
👀 Watchers:
🍴 Forks: 295 forks
💻 Programming Languages: Python - HTML
🏷️ Related Topics:
==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: 微舆:人人可用的多Agent舆情分析助手,打破信息茧房,还原舆情原貌,预测未来走向,辅助决策!从0实现,不依赖任何框架。
🔗 Repository URL: https://github.com/666ghj/BettaFish
📖 Readme: https://github.com/666ghj/BettaFish#readme
📊 Statistics:
🌟 Stars: 2.1K stars
👀 Watchers:
🍴 Forks: 295 forks
💻 Programming Languages: Python - HTML
🏷️ Related Topics:
#nlp #sentiment_analysis #python3 #data_analysis #deep_search #multi_agent_system #agent_framework #public_opinion_analysis #llms #deep_research
==================================
🧠 By: https://t.iss.one/DataScienceM