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  • šŸ‘‹ Hi, Iā€™m Mohit Yadav.
  • šŸ‘€ Iā€™m interested in computationally efficient methods for machine learning and NLP.
  • šŸ“« Email me -> [email protected].

Mohit Yadav's Projects

adversarial-attacks icon adversarial-attacks

Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"

axcell icon axcell

Tools for extracting tables and results from Machine Learning papers

biobox icon biobox

a toolbox for the manipulation, modelling and analysis of molecular structures

bionemo icon bionemo

For managing BioNeMo Service Example notebooks

bnt icon bnt

Bayes Net Toolbox for Matlab

counting_dimensions icon counting_dimensions

public demonstration for our ACL 2018 paper, "On the Practical Computational Power of Finite Precision RNNs for Language Recognition"

dynet icon dynet

DyNet: The Dynamic Neural Network Toolkit

falkon icon falkon

Large-scale, multi-GPU capable, kernel solver

gpytorch icon gpytorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch

hawkes icon hawkes

Python class for generation and parameter estimation of multivariate Hawkes processes

merf icon merf

Mixed Effects Random Forest

ncrfpp icon ncrfpp

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)

obp icon obp

Open Bandit Pipeline: a python library for bandit algorithms and off-policy evaluation

pywsrlib icon pywsrlib

Radar toolkit using Py-ART and patterned off WSRLIB

skisg icon skisg

Official implementation for "Kernel Interpolation with Sparse Grids"

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