π₯ Trending Repository: sim
π 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.
π Repository URL: https://github.com/simstudioai/sim
π Website: https://www.sim.ai
π Readme: https://github.com/simstudioai/sim#readme
π Statistics:
π Stars: 7.7K stars
π Watchers: 56
π΄ Forks: 1K forks
π» Programming Languages: TypeScript - MDX - Python - CSS - Shell - Smarty
π·οΈ Related Topics:
==================================
π§ By: https://t.iss.one/DataScienceM
π 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.
π Repository URL: https://github.com/simstudioai/sim
π Website: https://www.sim.ai
π Readme: https://github.com/simstudioai/sim#readme
π Statistics:
π Stars: 7.7K stars
π Watchers: 56
π΄ Forks: 1K forks
π» Programming Languages: TypeScript - MDX - Python - CSS - Shell - Smarty
π·οΈ 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
==================================
π§ By: https://t.iss.one/DataScienceM
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π₯ Trending Repository: puppeteer
π Description: JavaScript API for Chrome and Firefox
π Repository URL: https://github.com/puppeteer/puppeteer
π Website: https://pptr.dev
π Readme: https://github.com/puppeteer/puppeteer#readme
π Statistics:
π Stars: 91.8K stars
π Watchers: 1.2k
π΄ Forks: 9.3K forks
π» Programming Languages: TypeScript - JavaScript - HTML
π·οΈ Related Topics:
==================================
π§ By: https://t.iss.one/DataScienceM
π Description: JavaScript API for Chrome and Firefox
π Repository URL: https://github.com/puppeteer/puppeteer
π Website: https://pptr.dev
π Readme: https://github.com/puppeteer/puppeteer#readme
π Statistics:
π Stars: 91.8K stars
π Watchers: 1.2k
π΄ Forks: 9.3K forks
π» Programming Languages: TypeScript - JavaScript - HTML
π·οΈ Related Topics:
#testing #firefox #chrome #automation #web #chromium #developer_tools #node_module #headless_chrome
==================================
π§ By: https://t.iss.one/DataScienceM
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π₯ Trending Repository: clients
π Description: Bitwarden client apps (web, browser extension, desktop, and cli).
π Repository URL: https://github.com/bitwarden/clients
π Website: https://bitwarden.com
π Readme: https://github.com/bitwarden/clients#readme
π Statistics:
π Stars: 10.6K stars
π Watchers: 124
π΄ Forks: 1.4K forks
π» Programming Languages: TypeScript - HTML - SCSS - Rust - MDX - JavaScript
π·οΈ Related Topics:
==================================
π§ By: https://t.iss.one/DataScienceM
π Description: Bitwarden client apps (web, browser extension, desktop, and cli).
π Repository URL: https://github.com/bitwarden/clients
π Website: https://bitwarden.com
π Readme: https://github.com/bitwarden/clients#readme
π Statistics:
π Stars: 10.6K stars
π Watchers: 124
π΄ Forks: 1.4K forks
π» Programming Languages: TypeScript - HTML - SCSS - Rust - MDX - JavaScript
π·οΈ Related Topics:
#electron #nodejs #javascript #cli #firefox #chrome #angular #typescript #desktop #safari #webextension #browser_extension #bitwarden
==================================
π§ By: https://t.iss.one/DataScienceM
π₯ Trending Repository: leantime
π Description: Leantime is a goals focused project management system for non-project managers. Building with ADHD, Autism, and dyslexia in mind.
π Repository URL: https://github.com/Leantime/leantime
π Website: https://leantime.io
π Readme: https://github.com/Leantime/leantime#readme
π Statistics:
π Stars: 5.8K stars
π Watchers: 69
π΄ Forks: 671 forks
π» Programming Languages: PHP - JavaScript - CSS - Blade - Twig - HTML
π·οΈ Related Topics:
==================================
π§ By: https://t.iss.one/DataScienceM
π Description: Leantime is a goals focused project management system for non-project managers. Building with ADHD, Autism, and dyslexia in mind.
π Repository URL: https://github.com/Leantime/leantime
π Website: https://leantime.io
π Readme: https://github.com/Leantime/leantime#readme
π Statistics:
π Stars: 5.8K stars
π Watchers: 69
π΄ Forks: 671 forks
π» Programming Languages: PHP - JavaScript - CSS - Blade - Twig - HTML
π·οΈ Related Topics:
#php #trello #jira #sql #agile #calendar #projects #project_management #kanban #scrum #lean #strategy #timesheets #asana #gantt #hacktoberfest #notion #retrospective #clickup #leantime
==================================
π§ By: https://t.iss.one/DataScienceM
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π₯ Trending Repository: self-hosted-ai-starter-kit
π 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.
π Repository URL: https://github.com/n8n-io/self-hosted-ai-starter-kit
π Website: https://n8n.io
π Readme: https://github.com/n8n-io/self-hosted-ai-starter-kit#readme
π Statistics:
π Stars: 11.5K stars
π Watchers: 153
π΄ Forks: 2.8K forks
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.iss.one/DataScienceM
π 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.
π Repository URL: https://github.com/n8n-io/self-hosted-ai-starter-kit
π Website: https://n8n.io
π Readme: https://github.com/n8n-io/self-hosted-ai-starter-kit#readme
π Statistics:
π Stars: 11.5K stars
π Watchers: 153
π΄ Forks: 2.8K forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#ai #self_hosted #starter_kit #low_code #ai_agents
==================================
π§ By: https://t.iss.one/DataScienceM
π₯ Trending Repository: terminal-bench
π Description: A benchmark for LLMs on complicated tasks in the terminal
π Repository URL: https://github.com/laude-institute/terminal-bench
π Website: https://www.tbench.ai
π Readme: https://github.com/laude-institute/terminal-bench#readme
π Statistics:
π Stars: 428 stars
π Watchers: 7
π΄ Forks: 130 forks
π» Programming Languages: Python - JetBrains MPS - Shell - C++ - Dockerfile - C
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.iss.one/DataScienceM
π Description: A benchmark for LLMs on complicated tasks in the terminal
π Repository URL: https://github.com/laude-institute/terminal-bench
π Website: https://www.tbench.ai
π Readme: https://github.com/laude-institute/terminal-bench#readme
π Statistics:
π Stars: 428 stars
π Watchers: 7
π΄ Forks: 130 forks
π» Programming Languages: Python - JetBrains MPS - Shell - C++ - Dockerfile - C
π·οΈ Related Topics: Not available
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π§ By: https://t.iss.one/DataScienceM
π₯ Trending Repository: CDP8
π Description: New version of CDP software
π Repository URL: https://github.com/ComposersDesktop/CDP8
π Readme: https://github.com/ComposersDesktop/CDP8#readme
π Statistics:
π Stars: 313 stars
π Watchers: 16
π΄ Forks: 19 forks
π» Programming Languages: C
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.iss.one/DataScienceM
π Description: New version of CDP software
π Repository URL: https://github.com/ComposersDesktop/CDP8
π Readme: https://github.com/ComposersDesktop/CDP8#readme
π Statistics:
π Stars: 313 stars
π Watchers: 16
π΄ Forks: 19 forks
π» Programming Languages: C
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.iss.one/DataScienceM
π₯ Trending Repository: epicenter
π Description: Press shortcut β speak β get text. Free and open source. More local-first apps soon β€οΈ
π Repository URL: https://github.com/epicenter-so/epicenter
π Website: https://epicenter.so/
π Readme: https://github.com/epicenter-so/epicenter#readme
π Statistics:
π Stars: 2.2K stars
π Watchers: 9
π΄ Forks: 131 forks
π» Programming Languages: TypeScript - Svelte - Astro - Rust - CSS - JavaScript - HTML
π·οΈ Related Topics:
==================================
π§ By: https://t.iss.one/DataScienceM
π Description: Press shortcut β speak β get text. Free and open source. More local-first apps soon β€οΈ
π Repository URL: https://github.com/epicenter-so/epicenter
π Website: https://epicenter.so/
π Readme: https://github.com/epicenter-so/epicenter#readme
π Statistics:
π Stars: 2.2K stars
π Watchers: 9
π΄ Forks: 131 forks
π» Programming Languages: TypeScript - Svelte - Astro - Rust - CSS - JavaScript - HTML
π·οΈ Related Topics:
#svelte #tauri #tailwindcss #sveltekit
==================================
π§ By: https://t.iss.one/DataScienceM
π₯ Trending Repository: BitNet
π Description: Official inference framework for 1-bit LLMs
π Repository URL: https://github.com/microsoft/BitNet
π Readme: https://github.com/microsoft/BitNet#readme
π Statistics:
π Stars: 20.8K stars
π Watchers: 193
π΄ Forks: 1.6K forks
π» Programming Languages: Python - C++
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.iss.one/DataScienceM
π Description: Official inference framework for 1-bit LLMs
π Repository URL: https://github.com/microsoft/BitNet
π Readme: https://github.com/microsoft/BitNet#readme
π Statistics:
π Stars: 20.8K stars
π Watchers: 193
π΄ Forks: 1.6K forks
π» Programming Languages: Python - C++
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.iss.one/DataScienceM
β¨ Unlocking Image Clarity: A Comprehensive Guide to Super-Resolution Techniques β¨
π 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...
π·οΈ #ArtificialIntelligence #ComputerVision #DeepLearning #ImageProcessing #MachineLearning #TechnologyApplications #Tutorial
π 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...
π·οΈ #ArtificialIntelligence #ComputerVision #DeepLearning #ImageProcessing #MachineLearning #TechnologyApplications #Tutorial
β¨ Adversarial Learning with Keras and TensorFlow (Part 3): Exploring Adversarial Attacks Using Neural Structured Learning (NSL) β¨
π 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 intoβ¦...
π·οΈ #AdversarialLearning #DeepLearning #ImageProcessing #Keras #MachineLearning #NeuralNetworks #NeuralStructuredLearning #TensorFlow #Tutorial
π 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 intoβ¦...
π·οΈ #AdversarialLearning #DeepLearning #ImageProcessing #Keras #MachineLearning #NeuralNetworks #NeuralStructuredLearning #TensorFlow #Tutorial
β¨ An Interview with Peter Ip, Chief Data Scientist β¨
π 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, whereβ¦...
π·οΈ #ChiefDataScientist #DeepLearning #Interviews
π 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, whereβ¦...
π·οΈ #ChiefDataScientist #DeepLearning #Interviews
β¨ An interview with David Bonn, computer vision and wildfire detection expert β¨
π Imagine this: Youβve 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 youβve built isβ¦...
π·οΈ #DeepLearning #EmbeddedIoTComputerVision #Interviews
π Imagine this: Youβve 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 youβve built isβ¦...
π·οΈ #DeepLearning #EmbeddedIoTComputerVision #Interviews
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β¨ An interview with Raul Garcia-Martin, PhD candidate and computer vision entrepreneur β¨
π In this blog post, I sit down with Raul Garcia-Martin, a PhD candidate in Biometric Recognition at the University Carlos III of Madrid. Raulβs work focuses on identifying individual people by their biometrics. Youβre likely already familiar with the mostβ¦...
π·οΈ #DeepLearning #Interviews #SensorFusion
π In this blog post, I sit down with Raul Garcia-Martin, a PhD candidate in Biometric Recognition at the University Carlos III of Madrid. Raulβs work focuses on identifying individual people by their biometrics. Youβre likely already familiar with the mostβ¦...
π·οΈ #DeepLearning #Interviews #SensorFusion
β€1
β¨ An interview with Askat Kuzdeuov, computer vision and deep learning researcher β¨
π 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 heβs an avid PyImageSearch reader as well.β¦...
π·οΈ #DeepLearning #GenerativeAdversarialNetworksGANs #Interviews #SensorFusion
π 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 heβs an avid PyImageSearch reader as well.β¦...
π·οΈ #DeepLearning #GenerativeAdversarialNetworksGANs #Interviews #SensorFusion
β¨ CycleGAN: Unpaired Image-to-Image Translation (Part 1) β¨
π 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...
π·οΈ #ComputerVision #CycleGAN #DeepLearning #Keras #KerasandTensorFlow #TensorFlow #UnpairedImageTranslation
π 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...
π·οΈ #ComputerVision #CycleGAN #DeepLearning #Keras #KerasandTensorFlow #TensorFlow #UnpairedImageTranslation
β¨ Breaking captchas with deep learning, Keras, and TensorFlow β¨
π In the past, weβve 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, Iβllβ¦...
π·οΈ #DeepLearning #KerasandTensorFlow #Tutorials
π In the past, weβve 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, Iβllβ¦...
π·οΈ #DeepLearning #KerasandTensorFlow #Tutorials
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β¨ Smile detection with OpenCV, Keras, and TensorFlow β¨
π 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, weβll be training the LetNet architectureβ¦...
π·οΈ #DeepLearning #KerasandTensorFlow #Tutorials
π 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, weβll be training the LetNet architectureβ¦...
π·οΈ #DeepLearning #KerasandTensorFlow #Tutorials
β¨ Data augmentation with tf.data and TensorFlow β¨
π 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 howβ¦...
π·οΈ #DeepLearning #KerasandTensorFlow #Tutorials
π 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 howβ¦...
π·οΈ #DeepLearning #KerasandTensorFlow #Tutorials
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β¨ Build a Search Engine: Deploy Models and Index Data in AWS OpenSearch β¨
π 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? Whatβs Coming Next? Configuring Your Development Environment Installing Docker (Required forβ¦...
π·οΈ #Docker #MachineLearning #OpenSearch #SearchEngines #SemanticSearch #Tutorial #VectorSearch
π 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? Whatβs Coming Next? Configuring Your Development Environment Installing Docker (Required forβ¦...
π·οΈ #Docker #MachineLearning #OpenSearch #SearchEngines #SemanticSearch #Tutorial #VectorSearch
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