Data Science Jupyter Notebooks

🔥 Trending Repository: LightRAG

📝 Description: [EMNLP2025] "LightRAG: Simple and Fast Retrieval-Augmented Generation"

🔗 Repository URL: https://github.com/HKUDS/LightRAG

🌐 Website: https://arxiv.org/abs/2410.05779

📖 Readme: https://github.com/HKUDS/LightRAG#readme

📊 Statistics:
🌟 Stars: 22.6K stars
👀 Watchers: 162
🍴 Forks: 3.4K forks

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

🏷️ Related Topics:

#knowledge_graph #gpt #rag #gpt_4 #large_language_models #llm #genai #retrieval_augmented_generation #graphrag

==================================
🧠 By: https://t.iss.one/DataScienceM

355 views13:01

🔥 Trending Repository: verl

📝 Description: verl: Volcano Engine Reinforcement Learning for LLMs

🔗 Repository URL: https://github.com/volcengine/verl

🌐 Website: https://verl.readthedocs.io/en/latest/index.html

📖 Readme: https://github.com/volcengine/verl#readme

📊 Statistics:
🌟 Stars: 15.4K stars
👀 Watchers: 79
🍴 Forks: 2.5K forks

💻 Programming Languages: Python - Shell

🏷️ Related Topics: Not available

==================================
🧠 By: https://t.iss.one/DataScienceM

284 views13:01

🔥 Trending Repository: Memori

📝 Description: Open-Source Memory Engine for LLMs, AI Agents & Multi-Agent Systems

🔗 Repository URL: https://github.com/GibsonAI/Memori

🌐 Website: https://memorilabs.ai

📖 Readme: https://github.com/GibsonAI/Memori#readme

📊 Statistics:
🌟 Stars: 2.3K stars
👀 Watchers: 18
🍴 Forks: 216 forks

💻 Programming Languages: Python - PLpgSQL

🏷️ Related Topics:

#python #agent #awesome #state_management #ai #memory #memory_management #hacktoberfest #long_short_term_memory #rag #llm #memori_ai #hacktoberfest2025 #chatgpt #aiagent

==================================
🧠 By: https://t.iss.one/DataScienceM

273 views13:01

🔥 Trending Repository: WSABuilds

📝 Description: Run Windows Subsystem For Android on your Windows 10 and Windows 11 PC using prebuilt binaries with Google Play Store (MindTheGapps) and/or Magisk or KernelSU (root solutions) built in.

🔗 Repository URL: https://github.com/MustardChef/WSABuilds

📖 Readme: https://github.com/MustardChef/WSABuilds#readme

📊 Statistics:
🌟 Stars: 12.6K stars
👀 Watchers: 135
🍴 Forks: 2K forks

💻 Programming Languages: Python - Shell - PowerShell

🏷️ Related Topics:

#android #windows #google_apps #windows_10 #windows10 #android_emulator #subsystem #magisk #windows_11 #wsa #windows_subsystem_for_android #windows_subsystem_android #windowssubsystemforandroid #magiskonwsa #wsa_with_gapps_and_magisk #wsa_root #kernelsu #magiskonwsalocal #wsapatch

==================================
🧠 By: https://t.iss.one/DataScienceM

❤1

350 views13:01

🔥 Trending Repository: engine

📝 Description: Powerful web graphics runtime built on WebGL, WebGPU, WebXR and glTF

🔗 Repository URL: https://github.com/playcanvas/engine

🌐 Website: https://playcanvas.com

📖 Readme: https://github.com/playcanvas/engine#readme

📊 Statistics:
🌟 Stars: 11.1K stars
👀 Watchers: 328
🍴 Forks: 1.5K forks

💻 Programming Languages: JavaScript

🏷️ Related Topics:

#nodejs #javascript #gamedev #webgl #typescript #game_engine #game_development #virtual_reality #webgl2 #gltf #hacktoberfest #playcanvas #webgpu #webxr #gaussian_splatting #3d_gaussian_splatting

==================================
🧠 By: https://t.iss.one/DataScienceM

👍1

554 views13:02

🔥 Trending Repository: tracy

📝 Description: Frame profiler

🔗 Repository URL: https://github.com/wolfpld/tracy

🌐 Website: https://tracy.nereid.pl/

📖 Readme: https://github.com/wolfpld/tracy#readme

📊 Statistics:
🌟 Stars: 13.1K stars
👀 Watchers: 95
🍴 Forks: 888 forks

💻 Programming Languages: C++ - TeX - C - Python - CMake - Fortran

🏷️ Related Topics:

#gamedev #library #performance #profiler #performance_analysis #profiling #gamedev_library #profiling_library #gamedevelopment

==================================
🧠 By: https://t.iss.one/DataScienceM

👍1

869 views13:02

Photo scraping has finally arrived!

In the new v2 Firecrawl endpoint, you can now pull images from websites. Suitable for multimodal LLM applications, model fine-tuning, and other tasks.

You can apply filters by resolution, aspect ratio, or image type.

Already over 66 thousand stars on 😁
https://github.com/firecrawl/firecrawl

👉

@DataScienceN

Please open Telegram to view this post

VIEW IN TELEGRAM

❤4👍2

964 viewsedited 13:51

This media is not supported in your browser

0:34

VIEW IN TELEGRAM

💣

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

Please open Telegram to view this post

VIEW IN TELEGRAM

❤3👍2

278 viewsedited 06:39

Forwarded from Python | Machine Learning | Coding | R

🚀 THE 7-DAY PROFIT CHALLENGE! 🚀

Can you turn $100 into $5,000 in just 7 days?
Lisa can. And she’s challenging YOU to do the same. 👇

https://t.iss.one/+AOPQVJRWlJc5ZGRi
https://t.iss.one/+AOPQVJRWlJc5ZGRi
https://t.iss.one/+AOPQVJRWlJc5ZGRi

35 views14:56

This media is not supported in your browser

0:11

VIEW IN TELEGRAM

🔰 New version of Colab; Data Scientists' Partner
🔃 Major update for Google Colab!

👨🏻‍💻 From now on, you have a real AI assistant inside your notebook, not just a code completion tool!

▶️ This AI assistant is directly integrated inside Colab and Colab Enterprise (within Vertex AI and BigQuery), and it basically acts like a teammate and coding partner.

🤖

What exactly does this AI assistant do for you?

1⃣

It handles the entire workflow by itself!

🏷

You just need to tell it the goal, for example: "Build a model that predicts people's income level based on a BigQuery table." Then it plans a multi-step program, cleans the data, creates features, builds the model, and trains it.

🔢

It writes code for every task!

🏷

For example: it can create a chart, manage the cloud environment, perform causal analysis. You just have to ask.

🔢

It finds and fixes errors!
🏷 If a cell throws an error, it explains the cause, provides a corrected version of the code, and even shows a diff so you can approve it.

➖

🎯

What is its goal?

✅ Professionals work much faster.

✅ Beginners learn more easily.

✅ The entire data science process from idea to final model becomes faster, cleaner, and less error-prone.

➡️

AI First Colab Notebooks

➡️

AI First Colab Notebooks

🌐 #Data_Science #DataScience
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
https://t.iss.one/DataScienceN

Please open Telegram to view this post

VIEW IN TELEGRAM

❤4👍1

187 views20:55