- Stanford, CA
- https://ai.stanford.edu/~saumitro
Stars
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
[CVPR2020] f-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation https://arxiv.org/abs/2001.10331
PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)
A Python library to extract tabular data from PDFs
CleverCSV is a Python package for handling messy CSV files. It provides a drop-in replacement for the builtin CSV module with improved dialect detection, and comes with a handy command line applica…
Beautiful and accessible drag and drop for lists with React
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
Exact MAP-Inference by Confining Combinatorial Search with LP Relaxation
Neural-Guided RANSAC for Estimating Epipolar Geometry from Sparse Correspondences
📈 📊 Introduces geom_pointdensity(): A Cross Between a Scatter Plot and a 2D Density Plot.
Computations involving Lie groups and harmonic analysis
A modified reimplemented in pytorch of inpainting model in Free-Form Image Inpainting with Gated Convolution [http://jiahuiyu.com/deepfill2/]
3D human face estimation and rendering from a single image
Style Transfer by Relaxed Optimal Transport and Self-Similarity (CVPR 2019)
"Multi-Level Intermediate Representation" Compiler Infrastructure
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
Image Inpainting via Generative Multi-column Convolutional Neural Networks, NeurIPS2018
Tensorflow implementation of Semantic Image Inpainting with Deep Generative Models
Light-Weight RefineNet for Real-Time Semantic Segmentation
Library for Fast and Flexible Human Pose Estimation
Code base for our paper " Adversarial Scene Editing: Automatic Object Removal from Weak Supervision" appearing in NIPS 2018.
Just a simple Christmas tree, based on reddit story
Code used for texture synthesis using GAN
Learning infinite-resolution image processing with GAN and RL from unpaired image datasets, using a differentiable photo editing model.
AddressSanitizer, ThreadSanitizer, MemorySanitizer