@kshitizrimal
github

kshitizrimal

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  • Stars
    star
    199
  • Global Rank 123,732 (Top 5 %)
  • Followers 192
  • Following 11
  • Registered almost 14 years ago
  • Most used languages
    Jupyter Notebook
         41.7 %
    Python
         25.0 %
    Dart
         25.0 %
    Kotlin
         8.3 %

Top repositories

1

Fast-SCNN

Implementation of Fast-SCNN using Tensorflow 2.0
Jupyter Notebook
86
star
2

Flutter-TFLite-Image-Segmentation

Flutter TF Segmentation is an example app that uses Flutter for the ios/android app and uses TensorFlow Lite for Image segmentation.
Dart
26
star
3

deepStyle

Python
24
star
4

Cash-Recog-Project

Cash Recognition for Visually Impaired. Final codes and model files
Jupyter Notebook
14
star
5

Classification-Flutter-TFlite

Demo app which shows on device image classification using TFLite and Flutter
Dart
14
star
6

tflite-realtime-flutter

Realtime Image Segmentation using TFLite and Flutter
Dart
9
star
7

ka_learn

Model retrained on Inception V3 using Tensorflow. It classifies Devanagari alphabet 'ΰ€•' (Ka) from other images or alphabets. When provided clear contrast image, accuracy is between 85-95%
Python
6
star
8

Cash-Recognition-Android

Android App codes for cash recognition project
Kotlin
4
star
9

Cash-Recognition-for-Visually-Impaired

Training code for Cash Recognition for Visually Impaired.
Python
3
star
10

DQN-dog-game

Dog in a park, a maze type game creating using TF Agents that utilizes DQN
Jupyter Notebook
3
star
11

kshitizrimal

1
star
12

applied-deep-learning

Materials from Spring 2019 (WIP)
Jupyter Notebook
1
star
13

pest-recognizer

source code file for project pest recognizer
Jupyter Notebook
1
star