Abhishek Sharma's repositories
useful-rl-utils
Useful RL Utils
pp_lvm
Point process LVM Implementation
cvxpylayer_qp
Differentiable QP Layer using the OptNet paper (faster, more accurate implementation than cvxpylayers for QPs)
www_personal
Personal Webpage
MultiVariatePointProcess
Python implementations of https://github.com/dunan/MultiVariatePointProcess
autodiff_experiments
Try making automatic differentiation from scratch
simulation-implementations
Implementation of simulations of various types
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
ifl-tpp
Implementation of "Intensity-Free Learning of Temporal Point Processes"
gumbel-max-scm
Code for "Counterfactual Off-Policy Evaluation with Gumbel-Max Structural Causal Models" (ICML 2019)
du-rltpp
PPG (Point Process Generator) is a Reinforcement Learning framework that is able to produce actions by imitating expert sequences.
machine-learning-flashcards
Machine learning flashcards
gumbel-softmax-pytorch
categorical variational autoencoder using the Gumbel-Softmax estimator
bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
OptML_course
EPFL Course - Optimization for Machine Learning - CS-439
dmm
Implementation of Deep Markov Models using PyTorch
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
arm_sourcecode
Source code for the interestingness measures code
RLimplementations
Implementations of RL algorithms
tensorflow-seq2seq-tutorials
Dynamic seq2seq in TensorFlow, step by step
DSA-NPTEL
Code for DSA course in NPTEL
aframe
A web framework for building VR experiences.
three.js
JavaScript 3D library.