Data Science Machine Learning Data Analysis
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3- Data Visualization
4- Artificial Intelligence
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πŸ”₯ Trending Repository: sim

πŸ“ Description: Sim is an open-source AI agent workflow builder. Sim Studio's interface is a lightweight, intuitive way to quickly build and deploy LLMs that connect with your favorite tools.

πŸ”— Repository URL: https://github.com/simstudioai/sim

🌐 Website: https://www.sim.ai

πŸ“– Readme: https://github.com/simstudioai/sim#readme

πŸ“Š Statistics:
🌟 Stars: 7.7K stars
πŸ‘€ Watchers: 56
🍴 Forks: 1K forks

πŸ’» Programming Languages: TypeScript - MDX - Python - CSS - Shell - Smarty

🏷️ Related Topics:
#react #automation #typescript #ai #nextjs #chatbot #artificial_intelligence #gemini #openai #agents #low_code #no_code #rag #anthropic #deepseek #aiagents #agentic_workflow #agent_workflow


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🧠 By: https://t.iss.one/DataScienceM
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πŸ”₯ Trending Repository: puppeteer

πŸ“ Description: JavaScript API for Chrome and Firefox

πŸ”— Repository URL: https://github.com/puppeteer/puppeteer

🌐 Website: https://pptr.dev

πŸ“– Readme: https://github.com/puppeteer/puppeteer#readme

πŸ“Š Statistics:
🌟 Stars: 91.8K stars
πŸ‘€ Watchers: 1.2k
🍴 Forks: 9.3K forks

πŸ’» Programming Languages: TypeScript - JavaScript - HTML

🏷️ Related Topics:
#testing #firefox #chrome #automation #web #chromium #developer_tools #node_module #headless_chrome


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🧠 By: https://t.iss.one/DataScienceM
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πŸ”₯ Trending Repository: clients

πŸ“ Description: Bitwarden client apps (web, browser extension, desktop, and cli).

πŸ”— Repository URL: https://github.com/bitwarden/clients

🌐 Website: https://bitwarden.com

πŸ“– Readme: https://github.com/bitwarden/clients#readme

πŸ“Š Statistics:
🌟 Stars: 10.6K stars
πŸ‘€ Watchers: 124
🍴 Forks: 1.4K forks

πŸ’» Programming Languages: TypeScript - HTML - SCSS - Rust - MDX - JavaScript

🏷️ Related Topics:
#electron #nodejs #javascript #cli #firefox #chrome #angular #typescript #desktop #safari #webextension #browser_extension #bitwarden


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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: leantime

πŸ“ Description: Leantime is a goals focused project management system for non-project managers. Building with ADHD, Autism, and dyslexia in mind.

πŸ”— Repository URL: https://github.com/Leantime/leantime

🌐 Website: https://leantime.io

πŸ“– Readme: https://github.com/Leantime/leantime#readme

πŸ“Š Statistics:
🌟 Stars: 5.8K stars
πŸ‘€ Watchers: 69
🍴 Forks: 671 forks

πŸ’» Programming Languages: PHP - JavaScript - CSS - Blade - Twig - HTML

🏷️ Related Topics:
#php #trello #jira #sql #agile #calendar #projects #project_management #kanban #scrum #lean #strategy #timesheets #asana #gantt #hacktoberfest #notion #retrospective #clickup #leantime


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🧠 By: https://t.iss.one/DataScienceM
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πŸ”₯ Trending Repository: self-hosted-ai-starter-kit

πŸ“ Description: The Self-hosted AI Starter Kit is an open-source template that quickly sets up a local AI environment. Curated by n8n, it provides essential tools for creating secure, self-hosted AI workflows.

πŸ”— Repository URL: https://github.com/n8n-io/self-hosted-ai-starter-kit

🌐 Website: https://n8n.io

πŸ“– Readme: https://github.com/n8n-io/self-hosted-ai-starter-kit#readme

πŸ“Š Statistics:
🌟 Stars: 11.5K stars
πŸ‘€ Watchers: 153
🍴 Forks: 2.8K forks

πŸ’» Programming Languages: Not available

🏷️ Related Topics:
#ai #self_hosted #starter_kit #low_code #ai_agents


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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: terminal-bench

πŸ“ Description: A benchmark for LLMs on complicated tasks in the terminal

πŸ”— Repository URL: https://github.com/laude-institute/terminal-bench

🌐 Website: https://www.tbench.ai

πŸ“– Readme: https://github.com/laude-institute/terminal-bench#readme

πŸ“Š Statistics:
🌟 Stars: 428 stars
πŸ‘€ Watchers: 7
🍴 Forks: 130 forks

πŸ’» Programming Languages: Python - JetBrains MPS - Shell - C++ - Dockerfile - C

🏷️ Related Topics: Not available

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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: CDP8

πŸ“ Description: New version of CDP software

πŸ”— Repository URL: https://github.com/ComposersDesktop/CDP8

πŸ“– Readme: https://github.com/ComposersDesktop/CDP8#readme

πŸ“Š Statistics:
🌟 Stars: 313 stars
πŸ‘€ Watchers: 16
🍴 Forks: 19 forks

πŸ’» Programming Languages: C

🏷️ Related Topics: Not available

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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: epicenter

πŸ“ Description: Press shortcut β†’ speak β†’ get text. Free and open source. More local-first apps soon ❀️

πŸ”— Repository URL: https://github.com/epicenter-so/epicenter

🌐 Website: https://epicenter.so/

πŸ“– Readme: https://github.com/epicenter-so/epicenter#readme

πŸ“Š Statistics:
🌟 Stars: 2.2K stars
πŸ‘€ Watchers: 9
🍴 Forks: 131 forks

πŸ’» Programming Languages: TypeScript - Svelte - Astro - Rust - CSS - JavaScript - HTML

🏷️ Related Topics:
#svelte #tauri #tailwindcss #sveltekit


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🧠 By: https://t.iss.one/DataScienceM
πŸ”₯ Trending Repository: BitNet

πŸ“ Description: Official inference framework for 1-bit LLMs

πŸ”— Repository URL: https://github.com/microsoft/BitNet

πŸ“– Readme: https://github.com/microsoft/BitNet#readme

πŸ“Š Statistics:
🌟 Stars: 20.8K stars
πŸ‘€ Watchers: 193
🍴 Forks: 1.6K forks

πŸ’» Programming Languages: Python - C++

🏷️ Related Topics: Not available

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🧠 By: https://t.iss.one/DataScienceM
✨ Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques ✨

πŸ“– Table of Contents Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques Introduction Configuring Your Development Environment Need Help Configuring Your Development Environment? What Is Super-Resolution? Usual Problems with Low-Resolution Imagery Traditional Computer Vision A...

🏷️ #ArtificialIntelligence #ComputerVision #DeepLearning #ImageProcessing #MachineLearning #TechnologyApplications #Tutorial
✨ Adversarial Learning with Keras and TensorFlow (Part 3): Exploring Adversarial Attacks Using Neural Structured Learning (NSL) ✨

πŸ“– Table of Contents Adversarial Learning with Keras and TensorFlow (Part 3): Exploring Adversarial Attacks Using Neural Structured Learning (NSL) Introduction to Advanced Adversarial Techniques in Machine Learning Harnessing NSL for Robust Model Training: Insights from Part 2 Deep Dive into…...

🏷️ #AdversarialLearning #DeepLearning #ImageProcessing #Keras #MachineLearning #NeuralNetworks #NeuralStructuredLearning #TensorFlow #Tutorial
✨ An Interview with Peter Ip, Chief Data Scientist ✨

πŸ“– Hey everyone, welcome to another blog post where we talk with students from PyImageSearch. Today we are joined by Peter Ip, a Chief Data Scientist. Ritwik: So Peter, maybe you could start by introducing yourself? What do you do, where…...

🏷️ #ChiefDataScientist #DeepLearning #Interviews
✨ An interview with David Bonn, computer vision and wildfire detection expert ✨

πŸ“– Imagine this: You’ve built a brand new home out in the country, far from major cities. You need a break from all the hustle and bustle, and you want to bring yourself back to nature. The house you’ve built is…...

🏷️ #DeepLearning #EmbeddedIoTComputerVision #Interviews
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✨ An interview with Raul Garcia-Martin, PhD candidate and computer vision entrepreneur ✨

πŸ“– In this blog post, I sit down with Raul Garcia-Martin, a PhD candidate in Biometric Recognition at the University Carlos III of Madrid. Raul’s work focuses on identifying individual people by their biometrics. You’re likely already familiar with the most…...

🏷️ #DeepLearning #Interviews #SensorFusion
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✨ An interview with Askat Kuzdeuov, computer vision and deep learning researcher ✨

πŸ“– In this blog post, I interview Askat Kuzdeuov, a computer vision and deep learning researcher at the Institute of Smart Systems and Artificial Intelligence (ISSAI). Askat is not only a stellar researcher, but he’s an avid PyImageSearch reader as well.…...

🏷️ #DeepLearning #GenerativeAdversarialNetworksGANs #Interviews #SensorFusion
✨ CycleGAN: Unpaired Image-to-Image Translation (Part 1) ✨

πŸ“– Table of Contents CycleGAN: Unpaired Image-to-Image Translation (Part 1) Introduction Unpaired Image Translation CycleGAN Pipeline and Training Loss Formulation Adversarial Loss Cycle Consistency Summary Citation Information CycleGAN: Unpaired Image-to-Image Translation (Part 1) In this tutorial, yo...

🏷️ #ComputerVision #CycleGAN #DeepLearning #Keras #KerasandTensorFlow #TensorFlow #UnpairedImageTranslation
✨ Breaking captchas with deep learning, Keras, and TensorFlow ✨

πŸ“– In the past, we’ve worked with datasets that have been pre-compiled and labeled for us β€” but what if we wanted to go about creating our own custom dataset and then training a CNN on it? In this tutorial, I’ll…...

🏷️ #DeepLearning #KerasandTensorFlow #Tutorials
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✨ Smile detection with OpenCV, Keras, and TensorFlow ✨

πŸ“– In this tutorial, we will be building a complete end-to-end application that can detect smiles in a video stream in real-time using deep learning along with traditional computer vision techniques. To accomplish this task, we’ll be training the LetNet architecture…...

🏷️ #DeepLearning #KerasandTensorFlow #Tutorials
✨ Data augmentation with tf.data and TensorFlow ✨

πŸ“– In this tutorial, you will learn two methods to incorporate data augmentation into your tf.data pipeline using Keras and TensorFlow. A good dataset of images is vital when working with data augmentation in TensorFlow. It enables us to see how…...

🏷️ #DeepLearning #KerasandTensorFlow #Tutorials
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✨ Build a Search Engine: Deploy Models and Index Data in AWS OpenSearch ✨

πŸ“– Table of Contents Build a Search Engine: Deploy Models and Index Data in AWS OpenSearch Introduction What Will We Do in This Blog? Why Are We Using Vector Embeddings? What’s Coming Next? Configuring Your Development Environment Installing Docker (Required for…...

🏷️ #Docker #MachineLearning #OpenSearch #SearchEngines #SemanticSearch #Tutorial #VectorSearch
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