Femi Onakunle's repositories
ML-in-Cpp
C++ implementations of ML algorithms using mlpack
tensorflow_cpp
C and C++ examples for tensorflow
Product-Catalog-Size-Recommendation-Framework
Framework based on latent factor model and metric learning technique to predict fit of different catalog sizes of clothing products so as to recommend appropriately sized products to customers.
Inverse_Reinforcement_Learning_for_Stocks
Implement the model of Halperin and Feldshteyn for DJIA and SP500
Reinforcement-Learning-In-Motion
Code repository for my course on the fundamentals of reinforcement learning
convNet
this project is for implementing convolutional neural network in C++ as Tensorflow style
tensorflow-cc-examples
Tensorflow examples written in C++
Scalable-Bayesian-Matrix-Factorization
SBMF is a MCMC Gibbs sampling algorithm for MF having linear time complexity wrt the target rank and linear space complexity wrt the number of non-zero observations
Scalable-Variational-Bayesian-Factorization-Machine
Scalable Variational Bayesian inference algorithm for FM is developed which converges faster than the existing state-of-the-art MCMC based inference algorithm. Additionally, a stochastic variational Bayesian algorithm for FM is introduced for large scale learning which utilizes SGD.
tensorflow-cpp
Image classification C++ example using tensorflow shared library
MSE448Project
Market Making / Stat Arb strategy