Kumar Shridhar's Projects
Annotated dataset of 100 works of fiction to support tasks in natural language processing and the computational humanities.
Inference code for LLaMA models
LongtoNotes: OntoNotes with Longer Coreference Chains
NLP Projects at LTU
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
Online Content equivalent to Machine Learning Masters Degree at an University
Solutions for ML II Exercise TU Kaiserslautern
Demo project to show how Machine Learn Models are deployed on production using Flask API
New dataset
NER Benchmark
APOLLO-1: Online Toxicity Detection
The Ovation Framework for Conversational Intelligence
Portfolio Repository
Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
Python bindings to libpostal for fast international address parsing/normalization
Check associated licence of Python packages
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Bayesian Version of DCGAN
Super Resolution using Bayesian CNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)
Super Resolution of low resolution Images in PyTorch
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
Add noise in training data with QWERTY based Mistake Probability
resnet + swish in pytorch
SCREWS: A Modular Framework for Reasoning with Revisions
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349