r/MachineLearning
r/MachineLearning

r/MachineLearning

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r/MachineLearning is a Reddit community for machine learning researchers and enthusiasts. It features discussions on topics like networking at conferences and the long-term value of AI research.

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go from zero to claude code pro in one day — hands on bootcamp may 30 [D]

go from zero to claude code pro in one day — hands on bootcamp may 30 [D]

25d

Signals: finding the most informative agent traces without LLM judges [R]

Signals: finding the most informative agent traces without LLM judges [R]

25d

Steam Simularity Reccomender Student Project [p]

Steam Simularity Reccomender Student Project [p]

26d

Steam Similarity Recommender Find your next favorite game and learn WHY (student project)[P]

Steam Similarity Recommender Find your next favorite game and learn WHY (student project)[P]

27d

Formalizing statistical learning theory in Lean 4 [R]

Formalizing statistical learning theory in Lean 4 [R]

28d

What should a PyTorch training end-of-run performance summary show? [D]

What should a PyTorch training end-of-run performance summary show? [D]

28d

Steam Similarity Recommender [P]

Steam Similarity Recommender [P]

28d

Transformer Math Explorer [P]

Transformer Math Explorer [P]

29d

Question about PLS-DA hyperparameter tuning [R]

Question about PLS-DA hyperparameter tuning [R]

30d

Charting the AI Perception Gap: Across 71 scenarios, AI experts (N=119) and the public (N=1100) have differing views on the risks, benefits, and value of AI. More importantly, AI experts discount the influence of risks stronger than the public does when forming their value judgments [R]

Charting the AI Perception Gap: Across 71 scenarios, AI experts (N=119) and the public (N=1100) have differing views on the risks, benefits, and value of AI. More importantly, AI experts discount the influence of risks stronger than the public does when forming their value judgments [R]

30d

Building a 9-ball AI player: Candidate generation for direct cut shots [P]

Building a 9-ball AI player: Candidate generation for direct cut shots [P]

31d

AI learns to play

AI learns to play

32d

T³ transformer dataset beats

T³ transformer dataset beats

32d

Reddit user

Reddit user

32d

New method compresses Python code

New method compresses Python code

33d

Why Is Table Extraction with VLM Models Still Challenging? [D]

Why Is Table Extraction with VLM Models Still Challenging? [D]

35d

Phosphene local video and audio generation for Apple Silicon open source (LTX 2.3) [P]

Phosphene local video and audio generation for Apple Silicon open source (LTX 2.3) [P]

35d

A 14-day “Growth Forge” sprint: build an AI-powered growth agent on a real stack [N]

A 14-day “Growth Forge” sprint: build an AI-powered growth agent on a real stack [N]

39d

How Visual-Language-Action (VLA) Models Work [D]

How Visual-Language-Action (VLA) Models Work [D]

40d

Training LFM-2.5-350M on Reddit post summarization with GRPO on my 3x Mac Minis — final evals and t-test evals are here [P]

Training LFM-2.5-350M on Reddit post summarization with GRPO on my 3x Mac Minis — final evals and t-test evals are here [P]

41d

Open-source 9-task benchmark for coding-agent retrieval augmentation. Per-task deltas +0.010 to +0.320, all evals reproducible [P]

Open-source 9-task benchmark for coding-agent retrieval augmentation. Per-task deltas +0.010 to +0.320, all evals reproducible [P]

41d

Reducing LLM Hallucinations with Selective Contrastive Training: Achieving Factuality with 10% Less Data

Reducing LLM Hallucinations with Selective Contrastive Training: Achieving Factuality with 10% Less Data

42d

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Gemma 4 31B landing pages: Scaffolding beats design rules

45d

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AI databases in 2026: four distinct approaches

45d