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rlds-107's Projects

annoy icon annoy

Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk

bayesgrad icon bayesgrad

BayesGrad: Explaining Predictions of Graph Convolutional Networks

cleanlab icon cleanlab

Find label errors in datasets, weak supervision, and learning with noisy labels.

deepslide icon deepslide

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

edgeml icon edgeml

This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

fixres icon fixres

This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

kaolin icon kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

mmcv icon mmcv

OpenMMLab Computer Vision Foundation

noaa-runtime icon noaa-runtime

Code execution for the NOAA MagNet: Model the Geomagnetic Field competition.

places365 icon places365

The Places365-CNNs for Scene Classification

pwc-net icon pwc-net

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume, CVPR 2018 (Oral)

pytorch-metric-learning icon pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

seq2seq-signal-prediction icon seq2seq-signal-prediction

Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

slowfast icon slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

tabnet icon tabnet

PyTorch implementation of TabNet paper

torchio icon torchio

Tools for medical image processing in deep learning.

vaex icon vaex

Out-of-Core DataFrames for Python, ML, visualize and explore big tabular data at a billion rows per second 🚀

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