gbaydin

DiffSharp

DiffSharp: Differentiable Functional Programming

difftorch

A differentiation API for PyTorch

FsAlg

FsAlg: Generic Linear Algebra Library

hypergradient-descent

Hypergradient descent

OxCaptcha_java

Java CAPTCHA generator without external dependencies

oxford-poster

LaTeX beamer poster template themed for the University of Oxford

pyatmos

ppx

Probabilistic Programming eXecution protocol (PPX)

pyprob

A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch

pyprob_cpp

C++ front end for the pyprob probabilistic programming library

gbaydin/optim

A numeric optimization package for Torch.

gbaydin/captcha_recognition

gbaydin/anglican

Probabilistic Programming System Anglican

gbaydin/anglican-infcomp

Clojure library for Inference Compilation

gbaydin/anglican-infcomp-examples

Examples for anglican-infcomp

gbaydin/anglican-user

Anglican User Template

gbaydin/audi

Automated Differentiation for high degrees and multiple variables. Open source implementation of Differential Algebra

gbaydin/autograd

Efficiently computes derivatives of numpy code.

gbaydin/CSCS-summer-school-2017

CSCS-ICS-DADSi Summer School: Accelerating Data Science with HPC, September 4 – 6, 2017

gbaydin/d-CGP

Implementation of the differential CGP (Cartesian Genetic Programming)

gbaydin/DeepNet

Deep.Net machine learning framework for F#

gbaydin/diffhask

DSL for forward and reverse mode automatic differentiation in Haskell. Port of DiffSharp.

gbaydin/entrofy

Participant selection for workshops and conferences made easy

gbaydin/fimi2018

gbaydin/FreezeOut

Accelerate Neural Net Training by Progressively Freezing Layers

gbaydin/HyperGradientDescent

TensorFlow implementation of Hypergradient Descent modification of Adam algorithm

gbaydin/nips2016

A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016

gbaydin/nvidia-docker

Build and run Docker containers leveraging NVIDIA GPUs

gbaydin/probprog-for-lions

This repo contains example code, data and experiments related to the UAI 2017 submission: ''Interpreting Lion Behaviour with Nonparametric Probabilistic Programs'''

gbaydin/pylightcurve

exoplanet lightcurve model

gbaydin/pyprob

PyTorch-based library for probabilistic programming and inference compilation

gbaydin/pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

gbaydin/pytorch_nersc_wheel

PyTorch wheel installation file with performance optimization on CPU

gbaydin/PyTransit

Fast and easy transit light curve modeling using Python and Fortran.

gbaydin/recnn

Repository for the code of "QCD-Aware Recursive Neural Networks for Jet Physics"

gbaydin/Sigma.DiffSharp

SigmaDiff is a custom version of DiffSharp for automatic functional differentiation with ndarrays.

gbaydin/siplasplas

A library for C++ reflection and introspection

gbaydin/tensorflow-forward-ad

Forward-mode Automatic Differentiation for TensorFlow

gbaydin/torch-autograd

Autograd automatically differentiates native Torch code

gbaydin/zeppelin

Awesome conference website in 5 minutes.