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update README with new major contributors and remove redundant sections

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Soumith Chintala
2017-08-25 13:47:17 -04:00
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@ -231,18 +231,11 @@ We appreciate all contributions. If you are planning to contribute back bug-fixe
If you plan to contribute new features, utility functions or extensions to the core, please first open an issue and discuss the feature with us.
Sending a PR without discussion might end up resulting in a rejected PR, because we might be taking the core in a different direction than you might be aware of.
**For the next release cycle, these are the 3 big features we are planning to add:**
1. [Distributed PyTorch](https://github.com/pytorch/pytorch/issues/241) (a draft implementation is present in this [branch](https://github.com/apaszke/pytorch-dist) )
2. Backward of Backward - Backpropagating through the optimization process itself. Some past and recent papers such as
[Double Backprop](http://yann.lecun.com/exdb/publis/pdf/drucker-lecun-91.pdf) and [Unrolled GANs](https://arxiv.org/abs/1611.02163) need this.
3. Lazy Execution Engine for autograd - This will enable us to optionally introduce caching and JIT compilers to optimize autograd code.
## The Team
PyTorch is a community driven project with several skillful engineers and researchers contributing to it.
PyTorch is currently maintained by [Adam Paszke](https://apaszke.github.io/), [Sam Gross](https://github.com/colesbury) and [Soumith Chintala](http://soumith.ch) with major contributions coming from 10s of talented individuals in various forms and means. A non-exhaustive but growing list needs to mention: Sergey Zagoruyko, Adam Lerer, Francisco Massa, Andreas Kopf, James Bradbury, Zeming Lin, Yuandong Tian, Guillaume Lample, Marat Dukhan, Natalia Gimelshein.
PyTorch is currently maintained by [Adam Paszke](https://apaszke.github.io/), [Sam Gross](https://github.com/colesbury), [Soumith Chintala](http://soumith.ch) and [Gregory Chanan](https://github.com/gchanan) with major contributions coming from 10s of talented individuals in various forms and means.
A non-exhaustive but growing list needs to mention: Trevor Killeen, Sasank Chilamkurthy, Sergey Zagoruyko, Adam Lerer, Francisco Massa, Alykhan Tejani, Luca Antiga, Alban Desmaison, Andreas Kopf, James Bradbury, Zeming Lin, Yuandong Tian, Guillaume Lample, Marat Dukhan, Natalia Gimelshein, Christian Sarofeen, Martin Raison, Edward Yang, Zachary Devito.
Note: this project is unrelated to [hughperkins/pytorch](https://github.com/hughperkins/pytorch) with the same name. Hugh is a valuable contributor in the Torch community and has helped with many things Torch and PyTorch.