Name: Gautam R Gare
Type: User
Company: Carnegie Mellon University
Bio: I am a Robotics Ph.D. student at Carnegie Mellon University (CMU) with research interests in Computer Vision and Deep Learning focused on Video Understanding.
Location: Pittsburgh, PA, USA
Blog: https://ggare-cmu.github.io/
Gautam R Gare's Projects
Code for "Neural causal learning from unknown interventions"
Contrastive Language-Image Pretraining
Open source lung ultrasound (LUS) data collection initiative for COVID-19.
Repository for "Differentiable Causal Discovery from Interventional Data"
Source code for deep symbolic optimization.
This repository is for the subject "direct research in computer science B" from the university of Tsukuba
Official repository of the paper "Efficient Neural Causal Discovery without Acyclicity Constraints"
A beautiful, simple, clean, and responsive Jekyll theme for academics
Grounded Language-Image Pre-training
mixup: Beyond Empirical Risk Minimization
Implementation of paper "Modeling Multi-Label Action Dependencies for Temporal Action Localization"
Fine-tuning CLIP using ROCO dataset which contains image-caption pairs from PubMed articles.
pyCausalFS:A Python Library of Causality-based Feature Selection for Causal Structure Learning and Classification
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
Depth from a single RGB image using crowd-sourcing relative-depth datasets. The pytorch implementation of the NIPS paper: Single-Image Depth Perception in the Wild.
SoftGym is a set of benchmark environments for deformable object manipulation.
Official implementation of the TabPFN and the tabpfn package.
[NeurIPS 2020] Causal Discovery in Physical Systems from Videos
Code for the paper Learning Visible Connectivity Dynamics for Cloth Smoothing
A responsive project webpage template.