Mohit Yadav's Projects
Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
Tools for extracting tables and results from Machine Learning papers
a toolbox for the manipulation, modelling and analysis of molecular structures
For managing BioNeMo Service Example notebooks
Bayes Net Toolbox for Matlab
Course Files for Complete Python 3 Bootcamp Course on Udemy
public demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"
C++ Design Patterns
Python Design Patterns
Dilated CNNs for NER in TensorFlow
DyNet: The Dynamic Neural Network Toolkit
Large-scale, multi-GPU capable, kernel solver
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Pytorch implementation of GRU-ODE-Bayes
Python class for generation and parameter estimation of multivariate Hawkes processes
A booklet on machine learning systems design with exercises
Mixed Effects Random Forest
A minimal span-based neural constituency parser
NCRF++, an Open-source Neural Sequence Labeling Toolkit. It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components. (code for COLING/ACL 2018 paper)
Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation
Radar toolkit using Py-ART and patterned off WSRLIB
Official implementation for "Kernel Interpolation with Sparse Grids"
Figures for presentations
http://www.youtube.com/watch?v=P9z3Jae0EyU