shaabhishek Goto Github PK

aframe

A web framework for building VR experiences.

arm_sourcecode

Source code for the interestingness measures code

autodiff_experiments

Try making automatic differentiation from scratch

bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

cvxpylayer_qp

Differentiable QP Layer using the OptNet paper (faster, more accurate implementation than cvxpylayers for QPs)

deeprl-pong

dmm

Implementation of Deep Markov Models using PyTorch

dotfiles

my dotfiles. you get your own!

dsa-nptel

Code for DSA course in NPTEL

du-rltpp

PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.

emmet-vim

emmet for vim: http://emmet.io/

gumbel-max-scm

Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)

gumbel-softmax-pytorch

categorical variational autoencoder using the Gumbel-Softmax estimator

hierarchical-pp-new

hmm-mcmc

home

ifl-tpp

Implementation of "Intensity-Free Learning of Temporal Point Processes"

laracon-todo-api

Demo API built on Laravel 4 for my Laracon 2013 presentation

machine-learning-flashcards

Machine learning flashcards

multivariatepointprocess

Python implementations of https://github.com/dunan/MultiVariatePointProcess

npci

Non-parametrics for Causal Inference

optml_course

EPFL Course - Optimization for Machine Learning - CS-439

pf-lda

pp_lvm

Point process LVM Implementation

rlimplementations

Implementations of RL algorithms

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

sepsis3-mimic

Evaluation of the Sepsis-3 guidelines in MIMIC-III

seq2sql

Implementation of Seq2SQL. Inspired by: https://github.com/xiaojunxu/SQLNet

simulation-implementations

Implementation of simulations of various types

stanford-tensorflow-tutorials

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.