Soumith Chintala
where else to find them
bluesky:soumithchintala.bsky.social
linkedin:soumith
what they talk about
all 5 in the filters
where they keep going back
- MLconf NYC2 editions2017–2019
all 9 in the filters
on a stage with
- Ailing Zhangonce
- Clément Delangueonce
- Ibraham Haddadonce
all 8 in the filters
who talks about the same things
- Joe Spisak23 talks
- Michael Suo6 talks
- Merve Noyan11 talks
- Mark Saroufim5 talks
- Geeta Chauhan6 talks
- Matt White24 talks
| title | conference | date |
|---|---|---|
| Keynote: Fireside Chat with Soumith Chintala, Co-Creator of PyTorch & Merve Noyan | AI_dev: Open Source GenAI & ML Summit Europe 2024 | 2024-06-19 |
History of PyTorch is condensed into why torch.compile works most of the time and what engineers actually change to make it work — rewrite ops or make graphs… | ||
| Keynote: AI & the stuff built for AI - are they actually useful for data science? | PyData NYC 2023 | 2023-11-01 |
Trendy tools get judged by concrete results: PyTorch adds numpy compatibility and a compiler that shows 57× CPU and 200× GPU toy speedups on microbenchmarks… | ||
| Keynote | PyTorch Conference 2022 | 2022-12-02 |
Announcement of PyTorch 2.0 unveils a new compiler pipeline: graph acquisition via Dynamo, lowering to primitives and a Python-written backend TorchInductor… | ||
| Fireside Chat | Emerging OS Forum @ Open Source Summit Europe 2022 | 2022-09-13 |
PyTorch describes itself as a product-first open source project that already serves 150,000 developers and 18,000 organizations and maintains about 2,400… | ||
| Panel Discussion | PyTorch Developer Conference 2019 | 2019-10-08 |
Panelists report concrete workflows and pain points: teams move development and testing into Jupyter notebooks for development, production runs use Python and… | ||
| PyTorch 1.2 and PyTorch Hub: A Quick Introduction | PyTorch Summer Hackathon at Menlo Park 2019 | 2019-08-08 |
PyTorch 1.2 released and PyTorch Hub (Beta) provide concrete, usable pieces: a hub with 25+ models across image, language, audio and GANs, ready-to-load via… | ||
| Increasing the Impact of AI Through Better Software (Pytorch Updates) | MLconf NYC 2019 | 2019-03-29 |
A practical update on PyTorch: core pieces are an automatic-differentiation engine, a GPU-backed tensor library, optimizers and data loaders, and new tooling… | ||
| PyTorch: Fast Differentiable Dynamic Graphs in Python | Strange Loop 2017 | 2017-09-28 |
PyTorch claims fast, dynamic computation by combining an automatic-differentiation engine with a mixed Python and C/C++ tensor library that runs on GPUs. It… | ||
| Soumith Chintala, AI research engineer, Facebook, NYC 2017 | MLconf NYC 2017 | 2017-03-24 |
Dynamic Deep Learning: a paradigm shift in AI research and tools:
AI research has seen many shifts in the last few years. We’ve seen research go from using… | ||
| Deep Learning Revolution: Rethinking Machine Learning Pipelines | Philly ETE 2015 | 2015-04-07 |
Deep learning replaces handcrafted features with end-to-end models that learn from raw data, using GPU acceleration (NVIDIA changes favor float precision) and… | ||
| nothing matches | ||