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1. Parallel-RecSys Parallel-RecSys Public

   Implementation of the article Hogwild!: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent (2011)

   Python 5

2. Online_Multi_Task_Learning Online_Multi_Task_Learning Public

   Implementation of the paper Online Multi-Task Learning for Policy Gradient Methods (2014)

   Python 5 1

3. Background_Substraction_CS Background_Substraction_CS Public

   Implementation of the paper Compressive Sensing for Background Substraction from Cevher & Al (2008)

   Jupyter Notebook 4

4. Variance_Reducing_Stochastic_Methods Variance_Reducing_Stochastic_Methods Public

   Implementation of the paper Tracking the gradients using the Hessian: A new look at variance reducing stochastic methods, Gower, Le Roux and Bach (2018)

   Jupyter Notebook 1

5. Deep_Learning_GPU_CUDA Deep_Learning_GPU_CUDA Public

   Implementation of a simple C neural network optimised for GPU computing using CUDA

   C++ 1

6. VAE_Based_Music_Generation VAE_Based_Music_Generation Public

   Implementation of a fully connected Variational Auto-Encoder in Keras for Image and Music Generation

   Jupyter Notebook 1 1