shaabhishek

cvxpylayer_qp

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

gumbel-softmax-pytorch

categorical variational autoencoder using the Gumbel-Softmax estimator

RLimplementations

Implementations of RL algorithms

Seq2SQL

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

shaabhishek/gumbel-softmax-pytorch

categorical variational autoencoder using the Gumbel-Softmax estimator

shaabhishek/Seq2SQL

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

shaabhishek/cvxpylayer_qp

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

shaabhishek/RLimplementations

Implementations of RL algorithms

shaabhishek/arm_sourcecode

Source code for the interestingness measures code

shaabhishek/autodiff_experiments

Try making automatic differentiation from scratch

shaabhishek/bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

shaabhishek/DeepRL-Pong

shaabhishek/differentiableDQNLayer

Differentiable DQN Layer (with respect to model parameters)

shaabhishek/dmm

Implementation of Deep Markov Models using PyTorch

shaabhishek/DSA-NPTEL

Code for DSA course in NPTEL

shaabhishek/du-rltpp

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

shaabhishek/gumbel-max-scm

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

shaabhishek/hierarchical-pp-new

shaabhishek/hmm-mcmc

shaabhishek/home

shaabhishek/ifl-tpp

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

shaabhishek/machine-learning-flashcards

Machine learning flashcards

shaabhishek/MultiVariatePointProcess

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

shaabhishek/OptML_course

EPFL Course - Optimization for Machine Learning - CS-439

shaabhishek/pf-LDA

shaabhishek/pp_lvm

Point process LVM Implementation

shaabhishek/semi-supervised-pytorch

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

shaabhishek/sepsis3-mimic

Evaluation of the Sepsis-3 guidelines in MIMIC-III

shaabhishek/shaabhishek.github.io

shaabhishek/simulation-implementations

Implementation of simulations of various types

shaabhishek/stanford-tensorflow-tutorials

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

shaabhishek/tensorflow-seq2seq-tutorials

Dynamic seq2seq in TensorFlow, step by step

shaabhishek/useful-rl-utils

Useful RL Utils

shaabhishek/www_personal

Personal Webpage