Alexander Demidko (xdralex)

xdralex

Geek Repo

Company:Matterport

Location:San Francisco / London

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Alexander Demidko's repositories

pioneer

RL training for the 6DoF manipulator

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dockers

Various ML/DL/RL Docker images

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coursework-dlcourse-ai

Материалы курса Deep Learning на пальцах

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pytorch-wheel5

Reinventing the wheel for PyTorch model training and inference

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albumentations

fast image augmentation library and easy to use wrapper around other libraries

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awesome-deep-learning-papers

The most cited deep learning papers

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coursework-mlcourse-ai

Open Machine Learning Course

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dl-temp

Temporary deep learning stuff

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fluence

Peer-to-peer computing protocol and licensing system

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gym-gazebo2

gym-gazebo2 is a toolkit for developing and comparing reinforcement learning algorithms using ROS 2 and Gazebo

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incubator-druid

Apache Druid (Incubating) - Column oriented distributed data store ideal for powering interactive applications

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kafka

Mirror of Apache Kafka

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Monocular-Depth-Estimation-Toolbox

Monocular Depth Estimation Toolbox based on MMSegmentation.

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nerfstudio

A collaboration friendly studio for NeRFs

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neural-rgbd-surface-reconstruction

Official implementation of the CVPR 2022 Paper "Neural RGB-D Surface Reconstruction"

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One-Shot-Object-Detection

Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

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pytorch-toolbelt

PyTorch extensions for fast R&D prototyping and Kaggle farming

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senet.pytorch

PyTorch implementation of SENet

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stat-learning

Notes and exercise attempts for "An Introduction to Statistical Learning"

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tiny-cuda-nn

Lightning fast C++/CUDA neural network framework

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torch-ngp

A pytorch CUDA extension implementation of instant-ngp, with a GUI.

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TransDepth

Code for Transformers Solve Limited Receptive Field for Monocular Depth Prediction

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up-detr

[CVPR2021 Oral] UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

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urdf_parser_py

Standalone URDF parser for Python.

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vision

Datasets, Transforms and Models specific to Computer Vision

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