Sidd Karamcheti
siddk
Incoming Assistant Professor of Interactive Computing at Georgia Tech
Languages
Top Repositories
Voltron: Language-Driven Representation Learning for Robotics
Code and Experiments for ACL-IJCNLP 2021 Paper "Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering."
Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.
Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.
Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.
Neural Programmer-Interpreter Implementation (Reed, de Freitas: https://arxiv.org/abs/1511.06279), in Tensorflow
Repositories
63Voltron: Language-Driven Representation Learning for Robotics
Neural Programmer-Interpreter Implementation (Reed, de Freitas: https://arxiv.org/abs/1511.06279), in Tensorflow
Voltron Evaluation: Diverse Evaluation Tasks for Robotic Representation Learning
Tensorflow Implementation of Relation Networks for the bAbI QA Task, detailed in "A Simple Neural Network Module for Relational Reasoning," [https://arxiv.org/abs/1706.01427] by Santoro et. al.
Template Repository with Conda and Sane Quality Defaults (Black, Flake, isort) for PyTorch Projects.
Code and Experiments for ACL-IJCNLP 2021 Paper "Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering."
Tensorflow implementation of "Tracking the World State with Recurrent Entity Networks" [https://arxiv.org/abs/1612.03969] by Henaff, Weston, Szlam, Bordes, and LeCun.
Stores paper references, outputs to bib/html, does basic sanity checking on bib entries
Selected exercises from A Structure and Interpretation of Computer Programs in Haskell
My personal website.
Tensorflow Tutorial files and Implementations of various Deep NLP and CV Models.
Code & Experiments for "LILA: Language-Informed Latent Actions" to be presented at the Conference on Robot Learning (CoRL) 2021.
Meta Lingua: a lean, efficient, and easy-to-hack codebase to research LLMs.
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
An open implementation of the multi-class perceptron machine learning algorithm for classification. Built and optimized in Python.
A natural language question-answering system for my personal site. Reads in a user question, parses out the information, and directs them to the relevant section.
A flexible and efficient codebase for training visually-conditioned language models (VLMs)
No description provided.
LAVIS - A One-stop Library for Language-Vision Intelligence
R2D2 Core Content Management and Cleaning Repository for Post-Processing and Organization
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Residential Robot Demonstration Dataset
An open-source framework for training large multimodal models.
Robohive Fork with Reproducible Evaluations defined in Voltron: Language-Driven Representation Learning for Robotics.
Bottom-Up Top-Down Attention for VQA Implementation accompanying Annotated BUTD Blog Post
This is GRT's code for the TedX Gunn High School Rube Goldberg Machine.
Template Repository with Conda and Sane Quality Defaults (Black, Flake, isort) for PyTorch-Lightning Projects.
Driller Lite, for cloning data into cluster.
An open source robotics benchmark for meta- and multi-task reinforcement learning
Pre-training Reusable Representations for Robotic Manipulation Using Diverse Human Video Data