kshitizrimal
Senior Data Scientist at Brainly, Google Developers Expert on Machine Learning, Intel AI Ambassador, Former Head of Research at AID(ainepal.org)
Brainly
Pinned Repositories
Cash-Recog-Project
Cash Recognition for Visually Impaired. Final codes and model files
Cash-Recognition-Android
Android App codes for cash recognition project
Cash-Recognition-for-Visually-Impaired
Training code for Cash Recognition for Visually Impaired.
Classification-Flutter-TFlite
Demo app which shows on device image classification using TFLite and Flutter
deepStyle
DQN-dog-game
Dog in a park, a maze type game creating using TF Agents that utilizes DQN
Fast-SCNN
Implementation of Fast-SCNN using Tensorflow 2.0
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.
ka_learn
Model retrained on Inception V3 using Tensorflow. It classifies Devanagari alphabet 'क' (Ka) from other images or alphabets. When provided clear contrast image, accuracy is between 85-95%
tflite-realtime-flutter
Realtime Image Segmentation using TFLite and Flutter
kshitizrimal's Repositories
kshitizrimal/Fast-SCNN
Implementation of Fast-SCNN using Tensorflow 2.0
kshitizrimal/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.
kshitizrimal/Cash-Recog-Project
Cash Recognition for Visually Impaired. Final codes and model files
kshitizrimal/Classification-Flutter-TFlite
Demo app which shows on device image classification using TFLite and Flutter
kshitizrimal/tflite-realtime-flutter
Realtime Image Segmentation using TFLite and Flutter
kshitizrimal/Cash-Recognition-Android
Android App codes for cash recognition project
kshitizrimal/DQN-dog-game
Dog in a park, a maze type game creating using TF Agents that utilizes DQN
kshitizrimal/stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
kshitizrimal/applied-ml
📚 Papers & articles of companies sharing their work on applied data science & machine learning.
kshitizrimal/applied-deep-learning
Materials from Spring 2019 (WIP)
kshitizrimal/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
kshitizrimal/kshitizrimal
kshitizrimal/pest-recognizer
source code file for project pest recognizer
kshitizrimal/aind2-rnn
Project materials for RNN segment of AIND nanodegree
kshitizrimal/awesome-tflite
A curated list of awesome TensorFlow Lite models, samples, tutorials, tools and learning resources.
kshitizrimal/building-machine-learning-pipelines
Code repository for the O'Reilly publication "Building Machine Learning Pipelines" by Hannes Hapke & Catherine Nelson
kshitizrimal/call_for_code
kshitizrimal/Cash-Recognition-iOS
iOS App codes for Cash Recognition project
kshitizrimal/deep_learning_and_the_game_of_go
Code and other material for the book "Deep Learning and the Game of Go"
kshitizrimal/docs
TensorFlow documentation
kshitizrimal/finBERT
Financial Sentiment Analysis with BERT
kshitizrimal/fsdl-text-recognizer-project
The source repository is at https://github.com/full-stack-deep-learning/fsdl-text-recognizer
kshitizrimal/generated-translated-nepali
kshitizrimal/inltk
Natural Language Toolkit for Sanskrit based Languages
kshitizrimal/kshitizrimal.github.io
kshitizrimal.github.io
kshitizrimal/ml-production-template
This codebase is a starting point to get your Machine Learning project into Production.
kshitizrimal/mlops-on-gcp
kshitizrimal/RL-Quadcopter-2
Teach a Quadcopter How to Fly!
kshitizrimal/tf2_course
Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course
kshitizrimal/tfx2-workshop