e-sha

admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

Background-subtraction

Some low level background subtraction techniques to test SIMD extensions such as SSE, AVX and CUDA

bstld

Sample scripts for the Bosch Small Traffic Lights Dataset

BSTLD_demo

dvs_of_training_framework

A training framework to train optical flow estimator for event-based data

EV-FlowNet

Code for the paper "EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras"

EV_FlowNet

PyTorch implementation of EV-FlowNet

pyhumanshape

Python adapter for human shape project

rpg_e2vid

Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (arXiv, 2019).

YOLO_v3_tutorial_from_scratch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

e-sha/EV_FlowNet

PyTorch implementation of EV-FlowNet

e-sha/pyhumanshape

Python adapter for human shape project

e-sha/BSTLD_demo

e-sha/dvs_of_training_framework

A training framework to train optical flow estimator for event-based data

e-sha/rpg_e2vid

Code for the paper "High Speed and High Dynamic Range Video with an Event Camera" (arXiv, 2019).

e-sha/YOLO_v3_tutorial_from_scratch

Accompanying code for Paperspace tutorial series "How to Implement YOLO v3 Object Detector from Scratch"

e-sha/admm-pruning

Prune DNN using Alternating Direction Method of Multipliers (ADMM)

e-sha/bstld

Sample scripts for the Bosch Small Traffic Lights Dataset

e-sha/EV-FlowNet

Code for the paper "EV-FlowNet: Self-Supervised Optical Flow for Event-based Cameras"

e-sha/caffe

Caffe: a fast open framework for deep learning.

e-sha/CamBot

e-sha/CG_Checker

The aim of the project is to create simple and powerful checker tool. We use it to automatically check solutions of Computer Graphics course (CMC, Lomonosov Moscow State University).

e-sha/cvbot

Telebot wrapper to simplify development of CV demos.

e-sha/datasciencecoursera

Repository for data science specialization on coursera

e-sha/datasharing

The Leek group guide to data sharing

e-sha/dvs-simulator-module

DVS simulator module written in C++

e-sha/dvs_transformations

Optimized implementation of transformations for event-based stream

e-sha/family_tree

e-sha/Kitty-s-Calculations-on-a-Tree

the task from hackerrank

e-sha/mish

Mish Deep Learning Activation Function for PyTorch / FastAI

e-sha/nn-detection-filter

Filtering of object detector results based on information of camera location.

e-sha/PWC-Net

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

e-sha/pytorch-yolo-v3

A PyTorch implementation of the YOLO v3 object detection algorithm

e-sha/PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

e-sha/RAdam

On the Variance of the Adaptive Learning Rate and Beyond

e-sha/Ranger-Deep-Learning-Optimizer

Ranger - a synergistic optimizer using RAdam (Rectified Adam) and LookAhead in one codebase

e-sha/Russian-Phd-LaTeX-Dissertation-Template

LaTeX-template for russian Phd thesis

e-sha/square-ten-tree

e-sha/tensorflow

An Open Source Machine Learning Framework for Everyone

e-sha/test1