165 repositories starred since Apr 2010. Mostly machine learning and data, and lately AI and language models.
I like to train Deep Neural Nets on large datasets.
Over time
Each line is a starred repository at the date it was starred. Height is its GitHub stars. Drag across the graph or pick a year to filter the list below.
- Apr 2010: first stars, tweepy, jqfundamentals
- 2017–2019: 5 stars in 3 years
- 2024: 30 stars, 18 in AI & LLMs
- AI & LLMs49
- ML & data70
- Web & apps13
- Infra & backend4
- Libraries & tools4
- Systems & graphics12
- Learning & other13
Drift
Since Jan 2023, AI and language models went from 6% to 65% of new stars, while machine learning and data fell from 61% to 15%.
- Libraries & tools 12%
- Web & apps 12%
- AI & LLMs 69%
Terrain
Categories are regions. Where stars cluster, the ground rises. The most-starred repositories are marked like towns. Select a region to filter.
Findings
2024 was the busiest year: 30 stars, 18 of them in AI & LLMs.
They star established projects: the median repo here has 2,757 stars, and 33% have fewer than 1,000.
20 of their stars are archived or deprecated, and 5 name a successor. Another 70 have had no commits in two years.
The longest pause was 12 months, from May 2021 to May 2022.
Python accounts for 51% of their stars, JavaScript for 10%.
Languages & systems
- 2025-10-241.4K
- 2024-08-012K
- 2024-07-12AnswerDotAI/gpu.cpp4K
A lightweight library for portable low-level GPU computation using WebGPU.
C++v0.2.02024-07-12 - 2024-05-192.1K
- 2023-10-0910.8K
- 2023-01-03JonasGeiping/cramming1.4K
Cramming the training of a (BERT-type) language model into limited compute.
PythonTorch2.12023-01-03 - 2022-07-1220.5K
- 2022-05-3125.3K
- 2016-06-15nicolashery/mac-dev-setup5.8K
A beginner's guide to setting up a development environment on macOS
Shell2016-06-15 - 2014-04-076.4K
- 2011-09-181.4K
Is this you, @karpathy?
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