Pinned Repositories
socratic-generation
Automatic Generation of Scaffolding Questions for Learning Math, EMNLP 2022
CNN_Architectures
Keras Implementation of major CNN architectures
Indian-Names-Generator-Using-Deep-Learning
Generate Indian people Name using LSTM
Know-Your-Intent
State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.
Master-Thesis-BayesianCNN
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
ProbAct-Probabilistic-Activation-Function
Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
PyTorch-Super-Resolution
Super Resolution of low resolution Images in PyTorch
Screws
SCREWS: A Modular Framework for Reasoning with Revisions
Very-Deep-Learning-CNN
Everything you need to know about CNN in PyTorch
kumar-shridhar's Repositories
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
kumar-shridhar/Know-Your-Intent
State of the Art results in Intent Classification using Sematic Hashing for three datasets: AskUbuntu, Chatbot and WebApplication.
kumar-shridhar/Screws
SCREWS: A Modular Framework for Reasoning with Revisions
kumar-shridhar/LongtoNotes
LongtoNotes: OntoNotes with Longer Coreference Chains
kumar-shridhar/NER-Benchmarks
NER Benchmark
kumar-shridhar/Distiiling-LM
The code for the paper : Distilling Reasoning Capabilities into Smaller Language Models
kumar-shridhar/CV
My Curriculum vitae (CV)
kumar-shridhar/GMM-vs-K-Means
Gausian Mixture Models vs K-Means
kumar-shridhar/Online-Toxicity-Detection
APOLLO-1: Online Toxicity Detection
kumar-shridhar/grade-school-math
kumar-shridhar/implicit-variational-inference
The collection of recent papers about variational inference
kumar-shridhar/Very-Deep-Learning-NLP
NLP exercise for Very Deep Learning Lecture at TU Kl
kumar-shridhar/academic-kickstart
📝 Easily create a beautiful website using Academic, Hugo, and Netlify
kumar-shridhar/arch_uncert
Code for "Variational Depth Search in ResNets" (https://arxiv.org/abs/2002.02797)
kumar-shridhar/BIG-bench
Beyond the Imitation Game collaborative benchmark for enormous language models
kumar-shridhar/brainstorming-buddy
Brainstorming helper tool built on GPT-3 to generate ideas on a given topic.
kumar-shridhar/cvpr_clvision_challenge
CVPR 2020 Continual Learning Challenge - Submit your CL algorithm today!
kumar-shridhar/JointBERT
Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"
kumar-shridhar/kumar-shridhar
kumar-shridhar/litbank-1
Annotated dataset of 100 works of fiction to support tasks in natural language processing and the computational humanities.
kumar-shridhar/llama
Inference code for LLaMA models
kumar-shridhar/ML-II-Exercise
Solutions for ML II Exercise TU Kaiserslautern
kumar-shridhar/MLQA
New dataset
kumar-shridhar/Portfolio
Portfolio Repository
kumar-shridhar/pyvarinf
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
kumar-shridhar/Sentence-VAE
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
kumar-shridhar/ShreyaaChauhan
kumar-shridhar/spanningtrees
Code Repository for "Please Mind the Root: Decoding Arborescences for Dependency Parsing" and "On Finding the K-best Non-projective Dependency Trees"
kumar-shridhar/SVAMP
NAACL 2021: Are NLP Models really able to Solve Simple Math Word Problems?
kumar-shridhar/Utils
Some basic needed utilities