r/MachineLearning

Community Overview

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 #1 in the Machine Learning communities list and #3 in the Data Science communities list.

Roughly 77K members have joined in the past year. Popular discussion topics include Ai, Looking For, and D. 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 for upskilling with deep learning and genai, and tools for academic writing.

On Reddit
3.1M Members

Subreddit Analysis

via GummySearch
Yearly: +77K members
Growth: +2.6% / 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: 44K members

Past year (monthly)

  • Jul: 6K members
  • Aug: 4K members
  • Sep: 3K members
  • Oct: 3K members
  • Nov: 8K members
  • Dec: 7K members
  • Jan: 8K members
  • Feb: 8K members
  • Mar: 8K members
  • Apr: 8K members
  • May: 7K members
  • Jun: 5K members

Themes

  • Advice Requests
    13 posts in the past month
    1. [D] Where do you go for serious AI research discussion online? [D]
    2. [R]GNN Model For Fraud Detection Isn't Performing Well[R]
    3. Anyone here with experience submitting to Nature Machine Intelligence? [R]
    #1
    Advice Requests
    [D] Where do you go for serious AI research discussion online? [D] · [R]GNN Model For Fraud Detection Isn't Performing Well[R] · Anyone here with experience submitting to Nature Machine Intelligence? [R]
    13
  • Solution Requests
    2 posts in the past month
    1. A Simple Solution to Improve Broken Peer Review System at AI Conferences [R]
    2. Any tool to get accepted conference papers sorted by citation count? [D]
    #2
    Solution Requests
    A Simple Solution to Improve Broken Peer Review System at AI Conferences [R] · Any tool to get accepted conference papers sorted by citation count? [D]
    2
  • Pain & Anger
    2 posts in the past month
    1. One thing that's been bothering me lately: benchmark performance often tells me almost nothing about whether a workflow will survive production usage.[D]
    2. I'm done with ai [D]
    #3
    Pain & Anger
    One thing that's been bothering me lately: benchmark performance often tells me almost nothing about whether a workflow will survive production usage.[D] · I'm done with ai [D]
    2
  • Self-Promotion
    1 post in the past month
    1. Built a richer reading layer for arxiv (Chrome extension + web): OpenReview reviews, GitHub/HuggingFace links, citation graph, SPECTER2 neighbors, TLDRs. 3M papers, free, looking for feedback [P]
    #4
    Self-Promotion
    Built a richer reading layer for arxiv (Chrome extension + web): OpenReview reviews, GitHub/HuggingFace links, citation graph, SPECTER2 neighbors, TLDRs. 3M papers, free, looking for feedback [P]
    1
  • News
    1 post in the past month
    1. Anthropic walks back policy on silent nerfing for AI/ML, will notify users [N]
    #5
    News
    Anthropic walks back policy on silent nerfing for AI/ML, will notify users [N]
    1

Topics

  • Ai
    82 posts in the past month
    1. AI language models have favorite names, and we mapped them [R]
    2. NeurIPS used uncalibrated AI detector for desk rejections [D]
    3. Open weights are not enough: we need open training frameworks for research and better algorithms [P]
    #1
    Ai
    AI language models have favorite names, and we mapped them [R] · NeurIPS used uncalibrated AI detector for desk rejections [D] · Open weights are not enough: we need open training frameworks for research and better algorithms [P]
    82
  • Looking For
    67 posts in the past month
    #2
    Looking For
    67
  • D
    57 posts in the past month
    1. iOS 27 Siri is using WaveRNN and FastSpeech2 [D]
    2. [D] Independent researcher seeking arXiv endorsement for cs.SE (code DFGCPP) – AI Quality Ops Platform
    #3
    D
    iOS 27 Siri is using WaveRNN and FastSpeech2 [D] · [D] Independent researcher seeking arXiv endorsement for cs.SE (code DFGCPP) – AI Quality Ops Platform
    57
  • Machine Learning
    46 posts in the past month
    1. Multivariate Probability Models in Machine Learning [D]
    2. Columbia Machine Learning Summer School (MLSS) 2026 [D]
    3. Lisbon Machine Learning School (LxMLS 2026) [D]
    #4
    Machine Learning
    Multivariate Probability Models in Machine Learning [D] · Columbia Machine Learning Summer School (MLSS) 2026 [D] · Lisbon Machine Learning School (LxMLS 2026) [D]
    46
  • Struggling
    39 posts in the past month
    #5
    Struggling
    39

Flair

  • Discussion
    96 posts in the past month
    1. Anthropic's new model Fable will silently handicap work on LLMs [D]
    2. STOP racist posts about Chinese researchers [D]
    3. NeurIPS used uncalibrated AI detector for desk rejections [D]
    #1
    Discussion
    Anthropic's new model Fable will silently handicap work on LLMs [D] · STOP racist posts about Chinese researchers [D] · NeurIPS used uncalibrated AI detector for desk rejections [D]
    96
  • Project
    43 posts in the past month
    1. PapersWithCode new features - week 1 [P]
    2. Introducing Papers Without Code [P]
    3. A new dataset with more that 100M hi-quality, curated images, with captions and meta data! [P]
    #2
    Project
    PapersWithCode new features - week 1 [P] · Introducing Papers Without Code [P] · A new dataset with more that 100M hi-quality, curated images, with captions and meta data! [P]
    43
  • Research
    41 posts in the past month
    1. AI-generated CUDA kernels silently break training and inference [R]
    2. AI language models have favorite names, and we mapped them [R]
    3. Next-Latent Prediction Transformers [R]
    #3
    Research
    AI-generated CUDA kernels silently break training and inference [R] · AI language models have favorite names, and we mapped them [R] · Next-Latent Prediction Transformers [R]
    41
  • News
    7 posts in the past month
    1. Anthropic walks back policy on silent nerfing for AI/ML, will notify users [N]
    2. MiniMax dropped a new attention architecture. [N]
    3. iOS 27 Siri is using WaveRNN and FastSpeech2 [D]
    #4
    News
    Anthropic walks back policy on silent nerfing for AI/ML, will notify users [N] · MiniMax dropped a new attention architecture. [N] · iOS 27 Siri is using WaveRNN and FastSpeech2 [D]
    7

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 for upskilling with deep learning and genai
    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 for upskilling with deep learning and genai
    [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
  • tools for academic writing
    2 posts in the past month
    1. [D] Best tools for academic writing
    2. Best tools for academic writing
    #3
    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
    #4
    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
  • best free ai tools of 2025
    2 posts in the past month
    1. Best Free AI Tools of 2025
    2. Best Free AI Tools of 2025
    #5
    best free ai tools of 2025
    Best Free AI Tools of 2025 · Best Free AI Tools of 2025
    2

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.