The Curious Engineer

All blogs / AI / ML

Tryolabs

tryolabs.com/blog

A blog dedicated to state-of-the-art technology, experiences, and random thoughts about computer vision, natural language processing, predictive analytics, and more techniques in the AI field.

AI / MLPython

’15’20’25
Posts
166 from 27 Sep 2011 to 23 Aug 2026
Posting
now and then (5 in the last year)
Kind
company blog

2026 4

  1. Why graphs belong in your airline's AI strategy
  2. Forward deployed engineers: who owns both ends of enterprise AI
  3. AI won’t fix your business. Lessons from 15 years building AI
  4. When AI can buy: the retail playbook for Agentic Commerce

2025 6

  1. Top Python libraries of 2025
  2. 15 years of Tryolabs: building AI with purpose
  3. Making sense of Agentspace: Our hands-on take
  4. AI on board: near real-time insights for sustainable fishing
  5. AI Agents, explained: Use cases, potential and limitations
  6. From seeing to understanding: LLMs leveraging Computer Vision

2024 13

  1. Top Python libraries of 2024
  2. Climate Week NYC 2024: AI meets climate action
  3. Enterprise AI: insights from industry leaders
  4. LLMOps unpacked: the operational complexities of LLMs
  5. List of AI & ML conferences
  6. The silent threat to AI initiatives
  7. Solar energy predictions with AI: a joint case study
  8. Mastering RAG: a journey of challenges and innovations
  9. Navigating the AI implementation journey: Buy or Build?
  10. AutoML decoded: the ultimate guide and tools comparison
  11. Robust Data Engineering: The force propelling AI forward
  12. Fine-tuning LLMs for cost effective GenAI inference at scale
  13. Taming LLMs: strategies and tools for controlling responses

2023 9

  1. Top Python libraries of 2023
  2. From Brain to Binary: can neuro-inspired research make CPUs the future of AI Inference?
  3. MLOps: The strategic compass for AI-driven enterprises
  4. How Machine Learning is reshaping Price Optimization
  5. Mastering pricing strategies vol 2: Exploring complex market scenarios
  6. Mastering pricing strategies vol 1: Intro to our market simulator
  7. Khipu 2023: highlights from Latin America's premier AI event
  8. Top 5 tips to make your pandas code absurdly fast
  9. Fine-tuned LLMs and Distributed Training to elevate your Conversational AI game

2022 14

  1. Top Python libraries of 2022
  2. The guide to fine-tuning Stable Diffusion with your own images
  3. Automatically measuring soccer ball possession with AI and video analytics
  4. Object detection & tracking step by step guide: a hands-on exercise
  5. Machine Learning 101: Build, Train, Test, Rinse & Repeat
  6. Announcing Norfair 2.0: an open-source real-time multi-object tracking library
  7. ROS: the framework to accelerate your next robotics project
  8. Assembling your Data Science tool belt: a road to Machine Learning
  9. From DALL·E to Stable Diffusion: how do text-to-image generation models work?
  10. Modeling the consumer purchase decision
  11. MLOps World 2022 takeaways
  12. Diversity = Better Science: raising awareness by taking action
  13. Detecting safety helmets in real-time
  14. The state of retail in 2022: takeaways from Shoptalk

2021 8

  1. Top Python libraries of 2021
  2. Becoming an AI organization
  3. Tryolabs 2.0: Announcing our new look
  4. Real Estate pricing with Machine Learning & non-traditional data sources
  5. Our takeaways from NVIDIA GTC 2021
  6. Reinforcement Learning & pricing: a complicated love story
  7. The 7 big myths about AI in traditional businesses
  8. Releasing MaskCam: an open-source smart camera based around Jetson Nano

2020 14

  1. Top Python libraries of 2020
  2. Data Science Virtual Salon: Retail & E-Commerce
  3. AI for finance: where are the opportunities for financial services?
  4. Enhancing business storytelling with data
  5. Releasing Norfair: an open source library for object tracking
  6. Predictive maintenance using Machine Learning
  7. Machine Learning in your marketing mix strategy: taking the guesswork out
  8. Face mask detection in street camera video streams using AI: behind the curtain
  9. Personal data anonymization: key concepts & how it affects machine learning models
  10. Price optimization for e-commerce: a case study
  11. Swift: Google's bet on differentiable programming
  12. Real estate and machine learning: takeaways from Inman Connect 2020
  13. AI trends: what to expect in 2020
  14. AI applications for social good

2019 10

  1. Top 10 Python libraries of 2019
  2. 10 Years Tryolabs 🎉
  3. The 8 main takeaways from Khipu 2019
  4. Machine learning edge devices: benchmark report
  5. Deep in the dark: enhancing malware traffic detection with deep learning
  6. Recap: our first machine learning meetup in San Francisco
  7. Embedded Vision Summit 2019: My talk and takeaways
  8. Can you beat this pricing algorithm?
  9. 5 actionable steps to get your data ready for price optimization with ML
  10. 11 questions to ask before starting a successful Machine Learning project

2018 10

  1. Top 10 Python libraries of 2018
  2. The major advancements in Deep Learning in 2018
  3. How we built a stand-in robot for remote workers using IoT and computer vision
  4. Getting started with AWS: open source workshop
  5. My PyCon APAC 2018 experience in Singapore
  6. Software consulting meets hardware consulting: learnings and opportunities
  7. Introduction to Recommender Systems
  8. Announcing Luminoth 0.1: new object detection models, checkpoints and more!
  9. Introduction to Visual Question Answering: Datasets, Approaches and Evaluation
  10. Faster R-CNN: Down the rabbit hole of modern object detection

2017 12

  1. Top 10 Python libraries of 2017
  2. Deep Learning for NLP: Advancements & Trends
  3. Launching Requestium: An integration layer between Requests and Selenium for automation of web actions
  4. Our ODSC talks in video
  5. Launching Luminoth: our open source computer vision toolkit
  6. Tryolabs Working Trip NYC, in pictures
  7. We'll be speaking at ODSC San Francisco & London, presenting our Deep Learning R&D findings
  8. Object Detection with Deep Learning: The Definitive Guide
  9. Finding the right representation for your NLP data
  10. Magazine: A collection of our Machine Learning articles - Get a copy!
  11. Pandas & Seaborn - A guide to handle & visualize data in Python
  12. Building a Chatbot: analysis & limitations of modern platforms

2016 8

  1. Top 10 Python libraries of 2016
  2. The major advancements in Deep Learning in 2016
  3. Building our site: From Django & Wordpress to a static generator (Part I)
  4. Hackathon #1 - Welcome to the Jungle
  5. Raspberry Pi + Slack: Our humble contribution to the office's laziness
  6. Tryolabs is Sponsoring MLconf in San Francisco!
  7. Parse is gone. Now what?
  8. Non-coding tips a coder should know (w/memes!)

2015 22

  1. Top 10 Python libraries of 2015
  2. How to tame a frenzy of tasks with Celery
  3. How to track user actions and make sense of them: Segment + MixPanel
  4. Trying Flux with NuclearJS
  5. Building a Docker image with templating and initialization support
  6. Tryolabs! Now in your iPad!
  7. TLSphinx: automatic speech recognition (ASR) in Swift
  8. TLFormView: The form of the future is here (Part II)
  9. TLFormView: The form of the future is here (Part I)
  10. Building a Kanban App in React
  11. A Reusable Modal Component in React
  12. React Examples: Mailbox
  13. Configurable Docker containers for multiple environments
  14. Elasticsearch Demo: SF crime analysis using significant terms
  15. Optimizing Elasticsearch (part 1): Rescoring queries with multi-type fields
  16. nvd3-tags: A tiny library for making charts from CSV data
  17. Elasticsearch Analyzers (or How I Learned to Stop Worrying and Love Custom Filters)
  18. Python + Elasticsearch. First steps.
  19. Sponsoring Elasticon!
  20. Django to AngularJS
  21. Rust
  22. Introducing Metamon for kickstarting Django development

2014 3

  1. Request your invite for MonkeyLearn, the next generation Text Mining Toolkit
  2. The hidden challenge of Machine Learning
  3. Long running process and Django ORM

2013 6

  1. Raul's new Machine Learning book!
  2. Great news, angel round closed with Microsoft’s Eduardo Mangarelli.
  3. Run-time method patching in Python
  4. IPython Notebook
  5. Machine Learning basics every manager should know
  6. Displaying timezone-aware dates with Tastypie

2012 5

  1. Generating image thumbnails with django-thumbnail-works.
  2. Connecting to a Microsoft SQL Server database from Python under Ubuntu
  3. A Django Administration interface for non staff users
  4. Get user data using django-social-auth
  5. Django - Migrating from MySQL to PostgreSQL

2011 1

  1. Calling Scrapy from a Python script

Undated 21

  1. Collections
  2. Price Optimization Collection
  3. Video Analytics Collection
  4. A Road To Machine Learning Collection
  5. Top Python Libraries Collection
  6. Transform 2019 conference accelerate your business with ai
  7. Transformer based model for faster inference
  8. Tryolabs and google join forces for forecasting code camp at khipu 2023
  9. Tryolabs google introducing temporian
  10. Tryolabs partners with elastic
  11. Understanding the radiance fields landscape with michael rubloff
  12. Understanding the redux paradigm
  13. Unicef heatwave data visualization
  14. Unpacking the impulse data & ai conference 2024
  15. Using ai to connect every school with the internet
  16. We are proud supporters of khipu ai the biggest ai meeting in latam
  17. Why accuracy alone bad measure classification tasks and what we can do about it
  18. Why llms struggle with your spreadsheet data
  19. Why semantic layer fails what works
  20. Winners premios nova 2013
  21. Winning allianzgi ai hackathon hong kong