Abhishek Sharma (shaabhishek)

shaabhishek

Geek Repo

Location:United States

Home Page:abhishekshar.com

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Abhishek Sharma's repositories

useful-rl-utils

Useful RL Utils

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pp_lvm

Point process LVM Implementation

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cvxpylayer_qp

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

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www_personal

Personal Webpage

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MultiVariatePointProcess

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

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autodiff_experiments

Try making automatic differentiation from scratch

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simulation-implementations

Implementation of simulations of various types

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semi-supervised-pytorch

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

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sepsis3-mimic

Evaluation of the Sepsis-3 guidelines in MIMIC-III

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ifl-tpp

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

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gumbel-max-scm

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

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du-rltpp

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

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machine-learning-flashcards

Machine learning flashcards

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gumbel-softmax-pytorch

categorical variational autoencoder using the Gumbel-Softmax estimator

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bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

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OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

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dmm

Implementation of Deep Markov Models using PyTorch

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stanford-tensorflow-tutorials

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

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arm_sourcecode

Source code for the interestingness measures code

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Seq2SQL

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

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RLimplementations

Implementations of RL algorithms

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tensorflow-seq2seq-tutorials

Dynamic seq2seq in TensorFlow, step by step

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DSA-NPTEL

Code for DSA course in NPTEL

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aframe

A web framework for building VR experiences.

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three.js

JavaScript 3D library.

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