sksenthilkumar Goto Github PK

ai_assistant

Created during a hackathon HE5 at Munich for GC Group with Kirran Vasudev

c3_sinet

computer_vision

MAS_Winter_Semester_2017: For computer vision project- Shape recognition

deeplearning

A general product structure for any deep learning experimentation involving training a neural network

five-video-classification-methods

Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow

hackathon

hcn-pytorch

A pytorch reimplementation of { Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation }.

machine_learning

notes

numberplateextractor

openvino_install

Running Openvino on Ubuntu 18 natively and via Docker

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2, MNASNet, Single-Path NAS, FBNet, and more

sdp_class_project

Winter Semester 2017: Software Development class exercise

sudokusolver

Gets a sudoku image as an input and gives a printed solution as output

tamil_digibooks

convert the images of a tamil book into a text file and/or searchable pdf using tessaract

tutorials

To try out some basic tasks in the deep learning libraries

view-adaptive-neural-networks-for-skeleton-based-human-action-recognition

View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition