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gp_extras

Additional kernels that can be used with scikit-learn's Gaussian Process module

gp_nn

gp_presentation

gprmax

gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)

gps

Guided Policy Search

gpsim

Gaussian Process Single Input Motif software in MATLAB.

gpstocks

Using Genetic Programming for Securities Analysis

gpt-2-pytorch

Simple Text-Generator with OpenAI gpt-2 Pytorch Implementation

gpt2

PyTorch Implementation of OpenAI GPT-2

gpt2-pytorch

Extremely simple and understandable GPT2 implementation with minor tweaks

gpt3-sandbox

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

gptk

Gaussian processes tool-kit: An R package for GP regression.

gptoolbox

Matlab toolbox for Geometry Processing.

gpu-cppn

Compositional Pattern Producing Networks running on CUDA code inside of a C++ evolutionary framework.

gpu_cbir

gpuramdrive

RamDrive that is backed by GPU Memory

gpustack

Stack of RBM's/AE for gnumpy

gpy

Gaussian processes framework in python

gpyopt

Gaussian Process Optimization using GPy

gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

grab_analyze

grabber

grabbit

get grabby with file trees

gradient-checkpointing

Make huge neural nets fit in memory

gradient-estimators-in-stochastic-computation-graphs

Gradient Estimation in Stochastic Computation Graphs using TensorFlow.

gradient-hyperparameter-example

Use paperspace-python to run a hyperparameter sweep

gradient_analysis

gradient_fuzzer

Gradient fuzzing for probabilistic programming

gradmcmc

Faster estimation of Bayesian models in ecology using Hamiltonian Monte Carlo

graduate-course-notes

I scanned a few of my graduate course notes into pdf files.