ml-explore/mlx
View on GitHubMLX: An array framework for Apple silicon
- Stars
- 28.5k
- Forks
- 2.3k
- Open beginner issues
- 0
- Indexed issues
- 98
- Avg merge
- 3d 8h
- Merged PRs (30d)
- 62
- Dominant language
- C++
- License
- MIT
- Last GitHub push
- Sep 17, 2026
- Latest indexed
- Sep 19, 2026
- Contributing guide
- Contributing guide
- Code of conduct
- Code of conduct
- Beginner labels
- No beginner labels indexed
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Difficulty 2/5 1-3 hours Newbie friendliness 88/100
ml-explore/mlx#4533 ·
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Difficulty 3/5 1-2 days Newbie friendliness 25/100
ml-explore/mlx#4528 ·
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Difficulty 4/5 3-5 days Newbie friendliness 58/100
ml-explore/mlx#4526 ·
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Difficulty 4/5 3-5 days Newbie friendliness 55/100
ml-explore/mlx#4525 ·
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Difficulty 4/5 3-5 days Newbie friendliness 45/100
ml-explore/mlx#4521 ·
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Difficulty 5/5 Over a week Newbie friendliness 45/100
ml-explore/mlx#4509 ·
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Difficulty 5/5 Over a week Newbie friendliness 30/100
ml-explore/mlx#4506 · 1 comment ·
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Difficulty 2/5 1-3 hours Newbie friendliness 85/100
ml-explore/mlx#4503 · 1 comment ·
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Difficulty 3/5 1-2 days Newbie friendliness 68/100
ml-explore/mlx#4502 ·
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Difficulty 4/5 3-5 days Newbie friendliness 42/100
ml-explore/mlx#4498 ·
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Difficulty 4/5 3-5 days Newbie friendliness 45/100
ml-explore/mlx#4485 · 1 comment ·
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bug low priority
Difficulty 4/5 3-5 days Newbie friendliness 54/100
ml-explore/mlx#4479 · 4 comments ·
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bug distributed
Difficulty 5/5 Over a week Newbie friendliness 35/100
ml-explore/mlx#4475 · 1 comment ·
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documentation low priority
Difficulty 4/5 3-5 days Newbie friendliness 68/100
ml-explore/mlx#4463 · 5 comments ·
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enhancement low priority
Difficulty 3/5 1-2 days Newbie friendliness 78/100
ml-explore/mlx#4460 ·
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bug low priority
Difficulty 3/5 1-2 days Newbie friendliness 68/100
ml-explore/mlx#4450 · 5 comments ·
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bug low priority
Difficulty 3/5 1-2 days Newbie friendliness 76/100
ml-explore/mlx#4444 ·
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distributed performance
Difficulty 5/5 Over a week Newbie friendliness 35/100
ml-explore/mlx#4438 · 2 comments ·
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`nn.Upsample(mode="linear")` is 2-4x slower than a matmul-based bilinear resize when upsampling Openperformance
Difficulty 4/5 3-5 days Newbie friendliness 48/100
ml-explore/mlx#4435 · 4 comments ·
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enhancement low priority python
Difficulty 4/5 3-5 days Newbie friendliness 48/100
ml-explore/mlx#4428 · 3 comments ·
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[BUG] NAX MoE simdgroup skipping in 0.32.2 triggers lost JACCL completion under heterogeneous TP Openbug distributed
Difficulty 5/5 Over a week Newbie friendliness 38/100
ml-explore/mlx#4403 · 1 comment ·
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[BUG] Mixed slice + fancy indexing produces wrong shape/garbage data for out-of-range slice bounds Openbug low priority
Difficulty 3/5 1-2 days Newbie friendliness 68/100
ml-explore/mlx#4399 ·
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bug low priority
Difficulty 4/5 3-5 days Newbie friendliness 55/100
ml-explore/mlx#4379 · 3 comments ·
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bug low priority python
Difficulty 3/5 1-2 days Newbie friendliness 65/100
ml-explore/mlx#4358 ·
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enhancement
Difficulty 4/5 3-5 days Newbie friendliness 45/100
ml-explore/mlx#4355 · 2 comments ·
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cuda performance
Difficulty 4/5 3-5 days Newbie friendliness 48/100
ml-explore/mlx#4339 · 2 comments ·
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bug low priority
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
ml-explore/mlx#4321 · 1 comment ·
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[BUG] JACCL SIGSEGV in tbt_post_recv during unique all_sum (no unplug, no model, ports still up) Openbug distributed
Difficulty 4/5 3-5 days Newbie friendliness 38/100
ml-explore/mlx#4319 · 1 comment ·
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bug distributed low priority
Difficulty 4/5 3-5 days Newbie friendliness 48/100
ml-explore/mlx#4278 · 1 comment ·
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bug distributed low priority
Difficulty 4/5 3-5 days Newbie friendliness 48/100
ml-explore/mlx#4276 · 1 comment ·
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question
Difficulty 5/5 Over a week Newbie friendliness 48/100
ml-explore/mlx#4259 · 2 comments ·
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bug distributed
Difficulty 4/5 3-5 days Newbie friendliness 45/100
ml-explore/mlx#4192 · 1 comment ·
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[BUG] `mx.distributed.all_max` / `all_min` silently drop `NaN` (inconsistent with `mx.max`/`mx.min`) Openbug distributed low priority
Difficulty 3/5 1-2 days Newbie friendliness 68/100
ml-explore/mlx#4072 · 4 comments ·
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enhancement low priority
Difficulty 5/5 Over a week Newbie friendliness 25/100
ml-explore/mlx#3954 · 2 comments ·
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bug
Difficulty 4/5 3-5 days Newbie friendliness 48/100
ml-explore/mlx#3932 · 5 comments ·
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enhancement
Difficulty 4/5 3-5 days Newbie friendliness 45/100
ml-explore/mlx#3915 · 1 comment ·
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bug distributed
Difficulty 5/5 Over a week Newbie friendliness 28/100
ml-explore/mlx#3910 · 2 comments ·
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bug cuda
ml-explore/mlx#3879 · 1 comment · 1 assignee ·
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bug cuda distributed
Difficulty 4/5 3-5 days Newbie friendliness 35/100
ml-explore/mlx#3876 · 3 comments ·
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bug cuda low priority
Difficulty 4/5 3-5 days Newbie friendliness 48/100
ml-explore/mlx#3861 · 5 comments ·
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mx.sum over a non-last axis returns all zeros for certain large tensors (e.g. [1, 32, 4096, 131072]) Openbug
Difficulty 4/5 3-5 days Newbie friendliness 45/100
ml-explore/mlx#3784 · 4 comments ·
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Difficulty 3/5 1-2 days Newbie friendliness 68/100
ml-explore/mlx#3780 ·
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[BUG] Complex vjps are wrong for arcsin/arccos/arctan/arcsinh/arccosh/arctanh (missing conjugate) Open
Difficulty 3/5 1-2 days Newbie friendliness 70/100
ml-explore/mlx#3778 ·
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enhancement low priority
Difficulty 4/5 3-5 days Newbie friendliness 48/100
ml-explore/mlx#3774 · 2 comments ·
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enhancement low priority
Difficulty 5/5 Over a week Newbie friendliness 38/100
ml-explore/mlx#3773 · 2 comments ·
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bug
Difficulty 2/5 1-3 hours Newbie friendliness 72/100
ml-explore/mlx#3759 ·
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bug distributed low priority
Difficulty 5/5 Over a week Newbie friendliness 38/100
ml-explore/mlx#3755 · 2 comments ·
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enhancement
Difficulty 3/5 1-2 days Newbie friendliness 67/100
ml-explore/mlx#3710 ·
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enhancement low priority python
Difficulty 4/5 3-5 days Newbie friendliness 48/100
ml-explore/mlx#3665 · 1 comment · 1 reaction ·
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bug
Difficulty 4/5 3-5 days Newbie friendliness 48/100
ml-explore/mlx#3583 · 1 comment ·