Name: Kumar Shridhar
Type: User
Company: ETH Zürich
Bio: PhD @ ETH Zürich in NLP and ML
Twitter: JupyterAI
Location: Zürich, Switzerland
I am a third year PhD student at ETH Zürich in Switzerland, supervised by Prof. Mrinmaya Sachan and Nicholas Monath from Google DeepMind. My PhD research investigate how generative LLMs reason, what factors affect their reasoning performance, and how to optimize their reasoning skills.
kumar-shridhar
litbank-1
Annotated dataset of 100 works of fiction to support tasks in natural language processing and the computational humanities.
llama
Inference code for LLaMA models
longtonotes
LongtoNotes: OntoNotes with Longer Coreference Chains
ltu_nlp
NLP Projects at LTU
master-thesis-bayesiancnn
Master Thesis on Bayesian Convolutional Neural Network using Variational Inference
mastersinmachinelearningonline
Online Content equivalent to Machine Learning Masters Degree at an University
ml-ii-exercise
Solutions for ML II Exercise TU Kaiserslautern
ml-model-flask-deployment
Demo project to show how Machine Learn Models are deployed on production using Flask API
mlqa
New dataset
ner-benchmarks
NER Benchmark
online-toxicity-detection
APOLLO-1: Online Toxicity Detection
ovationconversationalintelligenceframework
The Ovation Framework for Conversational Intelligence
portfolio
Portfolio Repository
practice
probact-probabilistic-activation-function
Official PyTorch implementation of the paper : ProbAct: A Probabilistic Activation Function for Deep Neural Networks.
pypostal
Python bindings to libpostal for fast international address parsing/normalization
pythonpackageslicencecheck
Check associated licence of Python packages
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-bayesian-dcgan
Bayesian Version of DCGAN
pytorch-bayesian-super-resolution
Super Resolution using Bayesian CNN
pytorch-bayesiancnn
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
pytorch-nlp
Supporting Rapid Prototyping with a Toolkit (incl. Datasets and Neural Network Layers)
pytorch-super-resolution
Super Resolution of low resolution Images in PyTorch
pyvarinf
Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
qwerty-based-mistake-probability
Add noise in training data with QWERTY based Mistake Probability
resnet-swish
resnet + swish in pytorch
screws
SCREWS: A Modular Framework for Reasoning with Revisions
sentence-vae
PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349
shreyaachauhan
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
