AI · alternatives · 2026

24 alternatives to TWiML Talk #2 - Siraj Raval - How to Build Confidence as an ML Developer

How to approach a machine learning/AI project

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. TWiML Talk #2 - Siraj Raval - How to Build Confidence as an ML Developer launched in 2016; newer entries below may have overtaken it.

1. 1
   ML Showcase▲214

   A curated collection of machine learning projects

   2017 · its alternatives →

2. 2
   TWiML Talk #1 – Clare Corthell▲62

   Open source data science masters, hybrid AI

   2016 · twimlai.com · its alternatives →

3. 3
   Nanonets▲135

   Turn machine learning into an API call

   2017 · nanonets.com · its alternatives →

4. 4
   Muse Gadgets▲185

   Meta's open-source kit for building your own AI gadgets

   24d ago · gadgets.muse.ai · its alternatives →

5. 5
   Seeking Wisdom With David Cancel - The Secret To Becoming A Learning Machine▲67

   The only shortcut David's learned after 5 startups? Learning

   2016 · soundcloud.com · its alternatives →

6. 6
   WhatTheFIsML▲110

   An illustrated guide to understanding Machine Learning

   2016 · its alternatives →

7. 7
   Software Engineering Daily — Machine Learning for Businesses with Joshua Bloom▲63

   Joshua Bloom, CTO of Wise.io dives into machine learning

   2016 · softwareengineeringdaily.com · its alternatives →

8. 8
   BigML▲64

   Machine learning as a service - build predictive apps

   2014 · bigml.com · its alternatives →

9. 9
   TensorPort▲143

   Help teams apply machine learning to real-world applications

   2017 · its alternatives →

10. 10
    Actually Asked▲85

    A self-improving branded AI FAQ page

    13d ago · actuallyasked.com · its alternatives →

11. 11
    Talking Machines - Solving intelligence and machine learning fundamentals▲56

    Guest: Nando de Freitas (Oxford, Google DeepMind)

    2015 · thetalkingmachines.com · its alternatives →

12. 12
    Enhance Podcast - "Mutually Assured Machine Learning"▲60

    Understanding machine learning and its applications.

    2016 · soundcloud.com · its alternatives →

13. 13
    Awkward Chatbot▲83

    machine learning is making like huge strides lol

    2015 · its alternatives →

14. 14
    Semiring AI▲94

    Create powerful ML models from 5 data samples

    2023 · semiring.ai · its alternatives →

15. 15
    TensorFlow 1.0▲80

    Open-source machine learning library by Google

    2018 · tensorflow.org · its alternatives →

16. 16
    Elemeno AI-Ops▲67

    Make machine learning work for you, not the other way around

    2022 · amazonasweb.ro · its alternatives →

17. 17
    Software Engineering Daily — TensorFlow with Greg Corrado▲63

    Greg Corrado of Google deep dives into machine learning

    2015 · softwareengineeringdaily.com · its alternatives →

18. 18OS
    Open source ML Book: Learn ML by Reading Answers, Like SO▲6

    2021 · rentruewang.github.io · its alternatives →

19. 19AC
    A curated collection of open-source ML projects▲5

    2017 · ml-showcase.com · its alternatives →

20. 20
    I open-sourced our internal tool for ML comparability/reproducibility▲5

    2024 · github.com · its alternatives →

21. 21
    Cortex▲15

    The easiest way to build machine learning apps

    2020 · github.com · its alternatives →

22. 22
    TensorFlow▲17

    An Open Source Library for Machine Intelligence (by Google)

    2015 · tensorflow.org · its alternatives →

23. 23
    TensorFlow Hub▲8

    GitHub for TensorFlow machine learning models

    2018 · tensorflow.org · its alternatives →

24. 24
    ML-Dev-Bench – Benchmarking AI Agents on Real-World AI Workflows▲6

    We’re excited to share ML-Dev-Bench, a new open-source benchmark that tests AI agents on real-world ML development tasks. Unlike typical coding challenges or Kaggle-style competitions, our benchmark simulates end-to-end ML workflows including: - Dataset handling and preprocessing - Debugging model and code failures - Implementing new model architectures - Fine-tuning and improving existing models With 30 diverse tasks, ML-Dev-Bench evaluates agents across critical stages of ML development. To complement this, we built Calipers, a framework that provides systematic performance evaluation and…

    2025 · github.com · its alternatives →

Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →