Below are some of the major projects I’d done in the past. All of them are related with machine learning.

[3] Neural Turing Machine : A TensorFlow implementation of perhaps the first differentiable memory architecture introduced in arXiv:1410.5401.

[2] Langevin Gradient Parallel Tempering : A package I once made on PyTorch containing a multiple mode sampling algorithm proposed by the same name in arXiv:1811.04343v1.

[1] MLPack : Implementations of basic machine learning algorithms from scratch. Current algorithms include:

  1. 1D K Means Clustering (.py)
  2. Decision Trees (.py)
  3. Kernel Density Estimate (.py)
  4. Linear Regression via gradient descent(.cpp).