Used Similiarity-Based Recommender (Jacobian) and Latent Factor Recommendation Model to Make Game Recommendations and Predict Ratings
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Updated
Mar 11, 2020 - Jupyter Notebook
Used Similiarity-Based Recommender (Jacobian) and Latent Factor Recommendation Model to Make Game Recommendations and Predict Ratings
Jacobian regularisation for neural networks (PyTorch) and hyperparameter tuning with Skorch
State Estimation of a 3D Quad with the use of Bayes Rules (Extended Kalman Filter)
Attempts to produce my first binary wrapper
Control KUKA Manipulator to follow a predefined trajectory using Jacobain approach and Inverse Kinematic approach
This is the MATLAB code and Python code written to solve Laplace Equation for 2D steady state heat-conduction equation using various FDM techniques.
Inverse Kinematics of a 7dof manipulator
Robot Tool Calibration of an Active Pen with Python using an Enabled Surface from Anoto Technology
Lightweight Python package for automatic differentiation
Compute Lyapunov exponents and Covariant-Lyapunov-Vectors of an RNN update trajectory
Assignments for MA209 Numerical Methods course at NITK Surathkal
A modular C++17 framework for automatic differentiation
Inference of PODPDO model through MLE on the estimation of the Jacobian & Hessian of data likelihood with respect to the unknown parameter.
Implementation of automatic differentiation (AD) in forward and backward modes with mathematical explanations
code for blog post https://gebob19.github.io/natural-gradient/
This is a python based solver for forward and inverse kinematics for planar robotic manipulator.
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