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1. ml-for-protacs ml-for-protacs Public

   Includes the master thesis work "Machine Learning for predicting targeted protein degradation" done at AstraZeneca, Gothenburg.

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2. GPU-accelerated-Finite-Element-Method-using-Python-and-CUDA GPU-accelerated-Finite-Element-Method-using-Python-and-CUDA Public

   Includes the design and implementation in Python and CUDA of the Finite Element Method algorithm to be run on an Nvidia GPU.

   Jupyter Notebook 9 3

3. Mapping-Multiple-LSTM-Models-on-FPGAs Mapping-Multiple-LSTM-Models-on-FPGAs Public

   Includes the SVD-based approximation algorithms for compressing deep learning models and the FPGA accelerators exploiting such approximation mechanism, as described in the paper Mapping multiple LS…

   Jupyter Notebook 14 3

4. chalmers_tma881_high_performance_computing chalmers_tma881_high_performance_computing Public

   C 1

5. chalmers_dit743_computational_methods_in_bioinformatics chalmers_dit743_computational_methods_in_bioinformatics Public

   Assignments and exercises within the field of bioinformatics.

   C 1

6. PROTAC-Degradation-Predictor PROTAC-Degradation-Predictor Public

   Predicting PROTAC protein degradation activity via machine learning.

   Jupyter Notebook 7 1