Merge pull request #51 from ereinha/GSOC-test-updates

Gsoc test updates

_gsocproposals/2024/proposal_CMS1.md

@@ -34,8 +34,8 @@ Intermediate
 ## Requirements
 C++, Python, PyTorch and some previous experience in Machine Learning.
 
-<!-- ## Test
-Please use [this link](https://docs.google.com/document/d/1lWTSASnVICm_4Zof7wr6_LkS24P_Z8TR1px_tctemQI/edit) to access the test for this project. -->
+## Test
+Please use [this link](https://docs.google.com/document/d/1QuG0Ho3pWsJGMx0fG969aBNfgPg-cDxU9w33ZuDEBng/edit?usp=sharing) to access the test for this project.
 
 ## Mentors
   * [Ruchi Chudasama](mailto:[email protected]) (University of Alabama)

_gsocproposals/2024/proposal_CMS2.md

@@ -26,8 +26,8 @@ Total project length: 175/350 hours.
 ## Expected results
  *  Benchmarks of deep network model inference for muon momentum assignment for prompt and displaced particles
 
-<!-- ## Test
-Please use this [link](https://drive.google.com/file/d/13gQToLhaoKGM7hXJY2sxVaVFqvS0Z9X9/view?usp=sharing) to access the test for this project. -->
+## Test
+Please use [this link](https://docs.google.com/document/d/1QuG0Ho3pWsJGMx0fG969aBNfgPg-cDxU9w33ZuDEBng/edit?usp=sharing) to access the test for this project.
 
 ## Requirements
 Python, C++, and some previous experience in Machine Learning. 

_gsocproposals/2024/proposal_CMS3.md

@@ -21,8 +21,8 @@ Total project length: 175/350 hours.
  * Improve existing code pipeline with features like multi-GPU parallelism and flexible preprocessing and analysis options
  * Deploy the developed models and pipeline on simulated physics data and analyze performance gains and changes in model understanding from the techniques used
 
-<!-- ## Test
-Please use this [link](https://drive.google.com/file/d/13gQToLhaoKGM7hXJY2sxVaVFqvS0Z9X9/view?usp=sharing) to access the test for this project. -->
+## Test
+Please use [this link](https://docs.google.com/document/d/1QuG0Ho3pWsJGMx0fG969aBNfgPg-cDxU9w33ZuDEBng/edit?usp=sharing) to access the test for this project.
 
 ## Requirements
 Significant experience in Python and Machine Learning in Pytorch. Preferably some experience with Transformers and multi-GPU parallelization or with the ROOT library developed by CERN. 

_gsocproposals/2024/proposal_E2E1.md

@@ -34,8 +34,8 @@ Advanced
 ## Requirements
 C++, Python, PyTorch, Tensorflow and some previous experience in Deep Learning.
 
-<!-- ## Test
-Please use [this link](https://docs.google.com/document/d/1lWTSASnVICm_4Zof7wr6_LkS24P_Z8TR1px_tctemQI/edit) to access the test for this project. -->
+## Test
+Please use [this link](https://docs.google.com/document/d/1QuG0Ho3pWsJGMx0fG969aBNfgPg-cDxU9w33ZuDEBng/edit?usp=sharing) to access the test for this project.
 
 ## Mentors
   * [Diptarko Choudhury](mailto:[email protected]) (NISER)

_gsocproposals/2024/proposal_E2E2.md

@@ -37,8 +37,8 @@ Advanced
 ## Requirements
 C++, Python, PyTorch, Tensorflow and some previous experience in Deep Learning.
 
-<!-- ## Test
-Please use [this link](https://docs.google.com/document/d/1lWTSASnVICm_4Zof7wr6_LkS24P_Z8TR1px_tctemQI/edit) to access the test for this project. -->
+## Test
+Please use [this link](https://docs.google.com/document/d/1QuG0Ho3pWsJGMx0fG969aBNfgPg-cDxU9w33ZuDEBng/edit?usp=sharing) to access the test for this project.
 
 ## Mentors
   * [Emanuele Usai](mailto:[email protected]) (University of Alabama)

_gsocproposals/2024/proposal_E2E3.md

@@ -36,8 +36,8 @@ Advanced
 ## Requirements
 C++, Python, PyTorch, Tensorflow and some previous experience in Deep Learning.
 
-<!-- ## Test
-Please use [this link](https://docs.google.com/document/d/1lWTSASnVICm_4Zof7wr6_LkS24P_Z8TR1px_tctemQI/edit) to access the test for this project. -->
+## Test
+Please use [this link](https://docs.google.com/document/d/1QuG0Ho3pWsJGMx0fG969aBNfgPg-cDxU9w33ZuDEBng/edit?usp=sharing) to access the test for this project.
 
 ## Mentors
   * [Emanuele Usai](mailto:[email protected]) (University of Alabama)

_gsocproposals/2024/proposal_E2E4.md

@@ -37,8 +37,8 @@ Intermediate
 ## Requirements
 C++, Python, PyTorch and some previous experience in Machine Learning.
 
-<!-- ## Test
-Please use [this link](https://docs.google.com/document/d/1lWTSASnVICm_4Zof7wr6_LkS24P_Z8TR1px_tctemQI/edit) to access the test for this project. -->
+## Test
+Please use [this link](https://docs.google.com/document/d/1QuG0Ho3pWsJGMx0fG969aBNfgPg-cDxU9w33ZuDEBng/edit?usp=sharing) to access the test for this project.
 
 ## Mentors
   * [Ruchi Chudasama](mailto:[email protected]) (University of Alabama)

_gsocproposals/2024/proposal_E2E5.md

@@ -38,8 +38,8 @@ Intermediate
 ## Requirements
 Python, PyTorch and some previous experience in Machine Learning.
 
-<!-- ## Test
-Please use [this link](https://docs.google.com/document/d/1lWTSASnVICm_4Zof7wr6_LkS24P_Z8TR1px_tctemQI/edit) to access the test for this project. -->
+## Test
+Please use [this link](https://docs.google.com/document/d/1QuG0Ho3pWsJGMx0fG969aBNfgPg-cDxU9w33ZuDEBng/edit?usp=sharing) to access the test for this project.
 
 ## Mentors
   * [Emanuele Usai](mailto:[email protected]) (University of Alabama)

_gsocproposals/2024/proposal_SYMBA1.md

@@ -8,6 +8,7 @@ organization:
  - FSU
  - FAU
  - QU
+
 ---
 
 ## Description
@@ -29,8 +30,8 @@ Significant experience with Transformer machine learning models in Python (prefe
 ## Difficulty Level 
 Advanced
 
-<!-- ## Test
-Please use this [link](https://docs.google.com/document/d/1eMtRPR-nH2NyituMBIDAZdmcCkZF2TyUFQp6zg-z5pA) to access the test for this project. -->
+## Test
+Please use this [link](https://docs.google.com/document/d/19ybdCLbxJs2mFsxni4yN9FP4ADlK4mxltF9OVSmbRXE/edit?usp=sharing) to access the test for this project.
 
 ## Mentors
   * [Eric Reinhardt](mailto:[email protected]) (University of Alabama)

_gsocproposals/2024/proposal_SYMBA2.md

@@ -22,16 +22,15 @@ Total project length: 175/350 hours.
   * Develop and deploy state-space models (SSM) for symbolic solutions of squared amplitude calculations
   * Benchmark the SSM models with other transformer-based solutions
   * Integrated with the SymbaHEP pipeline
-
 
 ## Requirements 
 Significant experience with machine learning models in Python (preferably using pytorch).
 
 ## Difficulty Level 
 Advanced
 
-<!-- ## Test
-Please use this [link](https://docs.google.com/document/d/1eMtRPR-nH2NyituMBIDAZdmcCkZF2TyUFQp6zg-z5pA) to access the test for this project. -->
+## Test
+Please use this [link](https://docs.google.com/document/d/19ybdCLbxJs2mFsxni4yN9FP4ADlK4mxltF9OVSmbRXE/edit?usp=sharing) to access the test for this project.
 
 ## Mentors
   * [Eric Reinhardt](mailto:[email protected]) (University of Alabama)

_gsocproposals/2024/proposal_SYMBA3.md

@@ -23,16 +23,15 @@ Total project length: 175/350 hours.
   * Develop  symbolic regression models based on evolutionary and transformer models. 
   * Develop a hybrid method based on elements of both approaches
   * Benchmark these models on synthetic and  high-energy physics datasets
-
 
 ## Requirements 
 Significant experience with Transformer machine learning models in Python (preferably using pytorch).
 
 ## Difficulty Level 
 Advanced
 
-<!-- ## Test
-Please use this [link](https://docs.google.com/document/d/1eMtRPR-nH2NyituMBIDAZdmcCkZF2TyUFQp6zg-z5pA) to access the test for this project. -->
+## Test
+Please use this [link](https://docs.google.com/document/d/19ybdCLbxJs2mFsxni4yN9FP4ADlK4mxltF9OVSmbRXE/edit?usp=sharing) to access the test for this project.
 
 ## Mentors
   * [Eric Reinhardt](mailto:[email protected]) (University of Alabama)