Pinned Repositories
100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
Chemical-Kinetics-ODEs
scientific computing; modeling of chemical kinetics
conus-exogenomics
This repository contains files used by the Conus Exogenomics research group at the Marine Science Institute, University of the Philippines Diliman.
Financial-Derivatives
Statistical analysis of Bitcoin + learning how to use the Black-Scholes model to simulate share prices
npl
Bayesian Nonparametric Learning
NQS
Undergraduate dissertation. Neural networks representing Quantum States.
predator-prey_systems
This repository contains an excel spreadsheet, and a Jupyter Notebook written in Python, which models the behaviour of predator-prey systems using the Lotka-Volterra equations.
Python-for-Finance
iPython notes, and examples from the YouTube series by sentdex, Python Programming for Finance.
INASIC's Repositories
INASIC/predator-prey_systems
This repository contains an excel spreadsheet, and a Jupyter Notebook written in Python, which models the behaviour of predator-prey systems using the Lotka-Volterra equations.
INASIC/Chemical-Kinetics-ODEs
scientific computing; modeling of chemical kinetics
INASIC/conus-exogenomics
This repository contains files used by the Conus Exogenomics research group at the Marine Science Institute, University of the Philippines Diliman.
INASIC/100-pandas-puzzles
100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)
INASIC/Advance-Machine-Learning
INASIC/Auto_Conditioned_RNN_motion
Implementation of Auto-Conditioned Recurrent Networks for Extended Complex Human Motion Synthesis
INASIC/ComputationalPhysics2
INASIC/deep-motion-analysis
Motion analysis using deep neural networks
INASIC/genetic_algorithm.f90
A genetic algorithm written using Fortran. The program evaluates the optimal initial velocity vector to launch a projectile to hit a user-specified target, within a simulated environment involving gravity and air resistance.
INASIC/go
The Open Source Data Science Masters
INASIC/hello-world
This repository was created to become more familiar with how to use GitHub. It was created alongside the following tutorial: https://guides.github.com/activities/hello-world/
INASIC/ictp-saifr-mlphysics
code used during the minicourse
INASIC/INASIC.github.io
INASIC/kaggle-projects
Here is a list of the current kaggle projects I am working on, or have completed
INASIC/notes
temporary repository
INASIC/NQS-numpy
Approximate implementation of "Solving the Quantum Many-Body Problem with Artificial Neural Networks"
INASIC/pima-indians-diabetes
INASIC/psi0nn
A neural network quantum ground state solver
INASIC/pycon-pandas-tutorial
PyCon 2015 Pandas tutorial materials
INASIC/PyGame-Learning-Environment
PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
INASIC/Q_ANN
A proof of concept of Neural Networking for Quantum State recognition.
INASIC/QuantumManyBody
Quantum many-body problem with machine learning
INASIC/SALib
Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.
INASIC/scikit-learn
scikit-learn: machine learning in Python
INASIC/slides
Roger Luo's slides
INASIC/Spoon-Knife
This repo is for demonstration purposes only.
INASIC/studynotes
computer science study notes
INASIC/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
INASIC/WWCode_ML
How to handle missing data in Python
INASIC/WWCodeManila-ML.AI
Official GitHub repository for Machine Learning and AI Study Group