r/MachineLearning

Community Overview
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About r/MachineLearning

Beginners -> /r/mlquestions or /r/learnmachinelearning , AGI -> /r/singularity, career advices -> /r/cscareerquestions, datasets -> r/datasets

The community at a glance

r/MachineLearning is a Subreddit for Data Scientists and ML Engineers with roughly 3.1M members. It uses a forum format for communication. On the Hive Index it ranks #2 in the Machine Learning communities list and #4 in the Data Science communities list.

Roughly 84K members have joined in the past year. Popular discussion topics include Struggling, D, and P. Common discussion themes are Advice Requests and Solution Requests. Product recommendations often mention which ai model is best for emoji/sticker generation, mid level ds/ml strategy, and what are the best subreddits you follow for ai/ml/llms etc??.

On Reddit
3.1M Members

Community Topics

Community Features

Forum

This community has a forum

Subreddit Analysis

via GummySearch
Yearly: +84K members
Growth: +2.8% / year

Member growth over time

All time (yearly)

  • 2013: 7K members
  • 2014: 11K members
  • 2015: 19K members
  • 2016: 34K members
  • 2017: 106K members
  • 2018: 338K members
  • 2019: 335K members
  • 2020: 686K members
  • 2023: 1.3M members
  • 2024: 96K members
  • 2025: 65K members
  • 2026: 67K members

Past year (monthly)

  • Nov: 8K members
  • Dec: 7K members
  • Jan: 8K members
  • Feb: 8K members
  • Mar: 8K members
  • Apr: 8K members
  • May: 7K members
  • Jun: 7K members
  • Jul: 7K members
  • Aug: 6K members
  • Sep: 6K members
  • Oct: 4K members

Themes

  • Advice Requests
    3 posts in the past month
    1. Free, Open source AI Engineering Curriculum comes with 50+ projects [P]
    2. Any Advice for what Industry is looking for in ML PhDs? [D]
    3. Generating exam questions from a school’s own past papers: looking for a second opinion on the pipeline [D]
    #1
    Advice Requests
    Free, Open source AI Engineering Curriculum comes with 50+ projects [P] · Any Advice for what Industry is looking for in ML PhDs? [D] · Generating exam questions from a school’s own past papers: looking for a second opinion on the pipeline [D]
    3
  • Solution Requests
    3 posts in the past month
    1. Where can you find dependable partners for large-scale training data? [P]
    2. Help With Choosing Hardware [P]
    3. What ai is best to operate a system from screen video [p]
    #2
    Solution Requests
    Where can you find dependable partners for large-scale training data? [P] · Help With Choosing Hardware [P] · What ai is best to operate a system from screen video [p]
    3

Topics

  • Struggling
    37 posts in the past month
    #1
    Struggling
    37
  • D
    17 posts in the past month
    #2
    D
    17
  • P
    5 posts in the past month
    #3
    P
    5
  • Model
    4 posts in the past month
    #4
    Model
    4
  • Discussion
    4 posts in the past month
    #5
    Discussion
    4

Flair

  • Discussion
    28 posts in the past month
    1. Are .ipynb notebooks already outdated in the agentic era? [D]
    2. Remember alphaXiv? Their new research agents are told to report on users without telling them with no disclosure [D]
    3. What is the strongest mechanistic argument that next token prediction plus reinforcement learning can produce open-ended general intelligence? [D]
    #1
    Discussion
    Are .ipynb notebooks already outdated in the agentic era? [D] · Remember alphaXiv? Their new research agents are told to report on users without telling them with no disclosure [D] · What is the strongest mechanistic argument that next token prediction plus reinforcement learning can produce open-ended general intelligence? [D]
    28
  • Project
    24 posts in the past month
    1. Talus: a 23M-parameter diffusion model for game terrain, evaluated against a real-vs-real noise floor, running in the browser on WebGPU [P]
    2. I built MaRN: a PyTorch library for training neural networks through low-dimensional parameter mappings [P]
    3. I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)[P]
    #2
    Project
    Talus: a 23M-parameter diffusion model for game terrain, evaluated against a real-vs-real noise floor, running in the browser on WebGPU [P] · I built MaRN: a PyTorch library for training neural networks through low-dimensional parameter mappings [P] · I Built a O(NlogN) attention system that retains 97% accuracy over long context (MQAR)[P]
    24
  • Research
    9 posts in the past month
    1. Real-time neural weather restyling for Minecraft on a GTX 1650 (1.4M-param U-Net, distilled from FLUX.2 klein, 30-40 FPS realtime on budget GPU) [P]
    2. U-Space: Uncovering When and Why Uncertainty Arises in Language Models [R][D]
    3. Orphaned generation after client cancellation in LLM serving: per-rank measurements on vLLM 0.11.0 and SGLang 0.5.21, with two pre-registered predictions that failed [R]
    #3
    Research
    Real-time neural weather restyling for Minecraft on a GTX 1650 (1.4M-param U-Net, distilled from FLUX.2 klein, 30-40 FPS realtime on budget GPU) [P] · U-Space: Uncovering When and Why Uncertainty Arises in Language Models [R][D] · Orphaned generation after client cancellation in LLM serving: per-rank measurements on vLLM 0.11.0 and SGLang 0.5.21, with two pre-registered predictions that failed [R]
    9
  • News
    3 posts in the past month
    1. World Action Models vs VLAs: Robotics Just Had Its GPT-2 Moment [N]
    2. Constrained Learning for Scientific Modelling (Paris NeurIPS pre-event) [N]
    3. AI peer review tool for CVPR, ICLR, ICML, and NeurIPS papers [D]
    #4
    News
    World Action Models vs VLAs: Robotics Just Had Its GPT-2 Moment [N] · Constrained Learning for Scientific Modelling (Paris NeurIPS pre-event) [N] · AI peer review tool for CVPR, ICLR, ICML, and NeurIPS papers [D]
    3

Product recommendations

  • which ai model is best for emoji/sticker generation
    4 posts in the past month
    1. Which AI Model is best for Emoji/Sticker Generation
    2. Which AI Model is best for Emoji/Sticker Generation
    3. Which AI Model is best for Emoji/Sticker Generation
    #1
    which ai model is best for emoji/sticker generation
    Which AI Model is best for Emoji/Sticker Generation · Which AI Model is best for Emoji/Sticker Generation · Which AI Model is best for Emoji/Sticker Generation
    4
  • mid level ds/ml strategy
    3 posts in the past month
    1. [D] Mid Level DS/ML, best strategy for upskilling with Deep Learning and GenAI ?
    2. Mid Level DS/ML, best strategy for upskilling with Deep Learning and GenAI ?
    3. Mid level DS/ML, best strategy for upskilling with Deep Learning and GenAI ?
    #2
    mid level ds/ml strategy
    [D] Mid Level DS/ML, best strategy for upskilling with Deep Learning and GenAI ? · Mid Level DS/ML, best strategy for upskilling with Deep Learning and GenAI ? · Mid level DS/ML, best strategy for upskilling with Deep Learning and GenAI ?
    3
  • what are the best subreddits you follow for ai/ml/llms etc??
    3 posts in the past month
    1. [D] What are the best subreddits you follow for AI/ML/LLMs/NLP/Agentic AI etc?
    2. What are the best subreddits you follow for AI/ML/LLMs etc??
    3. What are the best subreddits you follow for AI/ML/LLMs etc??
    #3
    what are the best subreddits you follow for ai/ml/llms etc??
    [D] What are the best subreddits you follow for AI/ML/LLMs/NLP/Agentic AI etc? · What are the best subreddits you follow for AI/ML/LLMs etc?? · What are the best subreddits you follow for AI/ML/LLMs etc??
    3
  • tools for academic writing
    2 posts in the past month
    1. [D] Best tools for academic writing
    2. Best tools for academic writing
    #4
    tools for academic writing
    [D] Best tools for academic writing · Best tools for academic writing
    2
  • understanding vision transformers (vits)
    2 posts in the past month
    1. Understanding Vision Transformers (ViTs) in 2025: Key Concepts, Challenges, and Best Resources
    2. Understanding Vision Transformers (ViTs) in 2025: Key Concepts, Challenges, and Best Resources
    #5
    understanding vision transformers (vits)
    Understanding Vision Transformers (ViTs) in 2025: Key Concepts, Challenges, and Best Resources · Understanding Vision Transformers (ViTs) in 2025: Key Concepts, Challenges, and Best Resources
    2
View full analysis on GummySearchSynced 10/15/2026

Frequently asked questions

Who is r/MachineLearning for?
Best for Data Scientists and ML Engineers enthusiasts looking for a Reddit-based community with forum discussion.
Is r/MachineLearning free to join?
This listing is not marked as paid-only. Access rules and any fees are decided by the community.
How many members does r/MachineLearning have?
Roughly 3.1M members, based on figures reported by the community or its host. Member counts are approximate and change over time.
What platform is r/MachineLearning on?
r/MachineLearning runs on Reddit. Reddit communities (or "subreddits") are forum-based groups on the popular social news aggregation, web content rating, and discussion website Reddit. Reddit is commonly known as "the front page of the internet". Users submit content to the site such as links, text posts, and images, which are then voted up or down and discussed by other members. From investing Reddit communities, to professional ones, to ones just for laughs, you're likely to find a community for you on Reddit.
What topics does r/MachineLearning cover?
On the Hive Index, r/MachineLearning is organized under Data Scientists, ML Engineers.
How do I join r/MachineLearning?
You can join r/MachineLearning by clicking this link, or pressing the "Go to community" button above.
What are the Data Science communities like?
Communities for data scientists and analysts covering machine learning, statistics, Python, and real-world data projects. Slack, Discord, and Reddit all have active communities, ranging from beginner-friendly spaces for breaking into the field to more technical groups discussing research papers and production ML systems.
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Added 7/30/2022

Monthly Stats

90
Views /mo
(+41%)
81
Visitors /mo
(+42%)
10
Referrals /mo
(-47%)

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