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🔥 Trending Repository: datascience

📝 Description: This repository is a compilation of free resources for learning Data Science.

🔗 Repository URL: https://github.com/geekywrites/datascience

🌐 Website: https://twitter.com/geekywrites

📖 Readme: https://github.com/geekywrites/datascience#readme

📊 Statistics:
🌟 Stars: 5.1K stars
👀 Watchers: 381
🍴 Forks: 529 forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#data_science #machine_learning #natural_language_processing #computer_vision #machine_learning_algorithms #artificial_intelligence #neural_networks #deeplearning #datascienceproject


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🧠 By: https://t.iss.one/DataScienceN
🔥 Trending Repository: Data-Science-Interview-Resources

📝 Description: A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

🔗 Repository URL: https://github.com/rbhatia46/Data-Science-Interview-Resources

📖 Readme: https://github.com/rbhatia46/Data-Science-Interview-Resources#readme

📊 Statistics:
🌟 Stars: 3.1K stars
👀 Watchers: 50
🍴 Forks: 719 forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#data_science #machine_learning #artificial_intelligence #interview_questions #interview_resources #learning_resources #machine_learning_interview #data_science_interview


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🧠 By: https://t.iss.one/DataScienceN
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🔥 Trending Repository: awesome-machine-learning-interpretability

📝 Description: A curated list of awesome responsible machine learning resources.

🔗 Repository URL: https://github.com/jphall663/awesome-machine-learning-interpretability

📖 Readme: https://github.com/jphall663/awesome-machine-learning-interpretability#readme

📊 Statistics:
🌟 Stars: 3.8K stars
👀 Watchers: 132
🍴 Forks: 608 forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#python #data_science #machine_learning #awesome #r #awesome_list #transparency #fairness #ai_safety #privacy_enhancing_technologies #interpretability #interpretable_ai #interpretable_ml #explainable_ml #xai #interpretable_machine_learning #privacy_preserving_machine_learning #machine_learning_interpretability #secure_ml #reliable_ai


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🧠 By: https://t.iss.one/DataScienceN
🔥 Trending Repository: data-science-career

📝 Description: Career Resources for Data Science, Machine Learning, Big Data and Business Analytics Career Repository

🔗 Repository URL: https://github.com/firmai/data-science-career

📖 Readme: https://github.com/firmai/data-science-career#readme

📊 Statistics:
🌟 Stars: 975 stars
👀 Watchers: 33
🍴 Forks: 150 forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#data_science #machine_learning #big_data #analytics #resources #career #business_intelligence #business_analytics


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🧠 By: https://t.iss.one/DataScienceN
🔥 Trending Repository: FreeML

📝 Description: A List of Data Science/Machine Learning Resources (Mostly Free)

🔗 Repository URL: https://github.com/Shujian2015/FreeML

📖 Readme: https://github.com/Shujian2015/FreeML#readme

📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 118
🍴 Forks: 517 forks

💻 Programming Languages: Not available

🏷️ Related Topics:
#data_science #machine_learning #natural_language_processing #deep_learning


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🧠 By: https://t.iss.one/DataScienceN
🔥 Trending Repository: ML-From-Scratch

📝 Description: Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

🔗 Repository URL: https://github.com/eriklindernoren/ML-From-Scratch

📖 Readme: https://github.com/eriklindernoren/ML-From-Scratch#readme

📊 Statistics:
🌟 Stars: 27.8K stars
👀 Watchers: 951
🍴 Forks: 4.8K forks

💻 Programming Languages: Python

🏷️ Related Topics:
#data_science #machine_learning #data_mining #deep_learning #genetic_algorithm #deep_reinforcement_learning #machine_learning_from_scratch


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🧠 By: https://t.iss.one/DataScienceM
🔥 Trending Repository: airflow

📝 Description: Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

🔗 Repository URL: https://github.com/apache/airflow

🌐 Website: https://airflow.apache.org/

📖 Readme: https://github.com/apache/airflow#readme

📊 Statistics:
🌟 Stars: 41.9K stars
👀 Watchers: 764
🍴 Forks: 15.5K forks

💻 Programming Languages: Python - TypeScript - JavaScript - Shell - Dockerfile - Jinja

🏷️ Related Topics:
#python #workflow #data_science #machine_learning #airflow #automation #etl #workflow_engine #scheduler #apache #orchestration #data_engineering #data_integration #elt #data_pipelines #dag #apache_airflow #mlops #workflow_orchestration #data_orchestrator


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🧠 By: https://t.iss.one/DataScienceM
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🔥 Trending Repository: RD-Agent

📝 Description: Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report

🔗 Repository URL: https://github.com/microsoft/RD-Agent

🌐 Website: https://rdagent.azurewebsites.net/

📖 Readme: https://github.com/microsoft/RD-Agent#readme

📊 Statistics:
🌟 Stars: 8.2K stars
👀 Watchers: 59
🍴 Forks: 872 forks

💻 Programming Languages: Python - Jupyter Notebook

🏷️ Related Topics:
#agent #data_science #development #data_mining #automation #research #ai #llm


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🧠 By: https://t.iss.one/DataScienceM
🔥 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:
#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


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🧠 By: https://t.iss.one/DataScienceM
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💣 China's Alibaba company has released a new competitor for Cursor and Windsurf!

👨🏻‍💻 Its name is Qoder, an AI IDE that thinks, plans, writes code, and executes it by itself so you can build software more easily.

✏️ Its interface is also very similar to Cursor; internal chat, code autocomplete, Agent Workflow, and support for MCP.

⬅️ What is Qoder's main focus? Context Engineering, and it is entirely built on that; meaning:

It deeply understands the project, structure, and codebase.

It builds persistent memory from past interactions.

It assigns tasks to the best possible AI model by itself.

⬅️ Two impressive features that really stand out:

1⃣ Quest Mode
⬅️ You just write and hand over the project specifications or the task you want, then go on with your other work, and later you receive the results. That means asynchronous coding without you having to oversee it.

2⃣ Repo Wiki
⬅️ It automatically generates documentation, architectural explanations, and project structure for the entire project.

🥵 Qoder
🌎 Website
📄 Documentation

🌐 #Data_Science #DataScience

https://t.iss.one/DataScienceN
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