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Correct Dates and adding new things #80

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Correct Dates and adding new things #80

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May 5, 2021
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16 changes: 11 additions & 5 deletions README.md
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Expand Up @@ -74,10 +74,12 @@ Listing of useful (mostly) public learning resources for machine learning applic

##### Upcoming:

- [Deep Learning for Science Summer School 2019, Berkeley, CA, USA](https://dl4sci-school.lbl.gov/home) (July 15-19, 2019)
- TBA

##### Past:

- [Deep Learning for Science Summer School 2019, Berkeley, CA, USA](https://dl4sci-school.lbl.gov/home) (July 15-19, 2019)

- [5th Machine Learning in High Energy Physics Summer School 2019](https://indico.cern.ch/event/768915/) (July 1-10, 2019)
- Associated [Yandex School of Data Analysis](https://github.com/yandexdataschool) repo: [mlhep2019](https://github.com/yandexdataschool/mlhep2019)
- [4th Machine Learning in High Energy Physics Summer School 2018](https://indico.cern.ch/event/687473/) (August 6-12, 2018)
Expand All @@ -95,11 +97,13 @@ Listing of useful (mostly) public learning resources for machine learning applic

##### Upcoming:

- [Machine Learning Summer School 2019, London, UK](https://sites.google.com/view/mlss-2019/home?authuser=0) (July 15–26, 2019)
- [Machine Learning Summer School 2019, Stellenbosch, South Africa](http://mlssafrica.com/) (January 7-18, 2019)
- TBA

##### Past:

- [Machine Learning Summer School 2019, London, UK](https://sites.google.com/view/mlss-2019/home?authuser=0) (July 15–26, 2019)
- [Machine Learning Summer School 2019, Stellenbosch, South Africa](http://mlssafrica.com/) (January 7-18, 2019)

- [Machine Learning Summer School 2018, Madrid, Spain](http://mlss.ii.uam.es/mlss2018/index.html) (August 27 - September 7, 2018)
- [Machine Learning Summer School 2018, Buenos Aires, Argentina](http://mlss2018.net.ar/) (June 18-20, 2018)
- [Deep Learning and Reinforcement Learning Summer School, Toronto, Canada](https://dlrlsummerschool.ca/) (July 25 - August 3, 2018)
Expand Down Expand Up @@ -134,6 +138,7 @@ Listing of useful (mostly) public learning resources for machine learning applic
- [Using ROOT/PyROOT with Conda and NumPy](https://indico.cern.ch/event/619371/attachments/1450504/2236434/Kagan_Lecture2.pdf#page=99)

- [scikit-learn](http://scikit-learn.org/stable/): General machine learning Python library


- [TMVA](https://root.cern.ch/tmva): ROOT's builtin machine learning package

Expand All @@ -150,11 +155,12 @@ Listing of useful (mostly) public learning resources for machine learning applic
- [PyTorch](http://pytorch.org/)
- [Caffe2](https://caffe2.ai/)
- [List of Conversion Tools For Saved Networks](https://github.com/ysh329/deep-learning-model-convertor)
- [LUMIN Unifies Many Improvements for Networks](https://pypi.org/project/lumin/): A PyTorch wrapper to make deep learning more accessible to scientists

### HEP to ML bridge tools

- [lwtnn](https://github.com/lwtnn/lwtnn): Tool to run Keras networks in C++ code

åç
- [sklearn-porter](https://github.com/nok/sklearn-porter): Transpile trained scikit-learn estimators to C, Java, JavaScript and others

- [ONNX](https://onnx.ai) open format to represent deep learning models
Expand Down Expand Up @@ -191,7 +197,7 @@ A listing of papers of applications of machine learning to high energy physics c

### Upcoming

- TBA
- [PyHEP 2021 "Python in HEP" (virtual) Workshop (2021)](https://indico.cern.ch/event/1019958/) (5-9 July 2021)

### Past

Expand Down