Vinayraj Singh's repositories
SchoolOfAI-100DaysOfML
This repository is a part of #100DaysofMLCode challenge by @llSourcell. That means I pledge to code machine learning for at least an hour everyday for the next 100 days.
char-rnn
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
CosineSimilarityComparison
CPU vs GPU vs Advanced Vector Extensions (AVX, SSE, etc.) with varying number of threads
CVND_Exercises
Exercise notebooks for CVND.
CVND_Localization_Exercises
Notebooks for learning about object motion and localization methods in the last section of CVND.
Deep-Learning
Transfer learning on Mobile net
jitpack.io
Documentation and issues of https://jitpack.io
machine-learning
Content for Udacity's Machine Learning curriculum
Machine-Learning-Tutorials
machine learning and deep learning tutorials, articles and other resources
MTCNN_face_detection_alignment
Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Neural Networks
OpenCV-Python-Series
An OpenCV & Python Tutorial Series and Reference.
P3_Implement_SLAM
Landmark Detection and Tracking (SLAM) project for CVND
Plant-Disease-Diagnostics-using-UAV-and-Android-APP
Plant diseases causes many significant damages and losses in crops around the world. Some suitable measures on disease identification should be introduced to prevent damages and minimize losses. Early Detection of Disease helps in increasing the crop productivity as well as in minimizing expense. Technical approaches using machine learning and computer vision are actively researched to achieve intelligence farming by early detection on plant disease. The accuracy of object detection and recognition systems has been drastically improved by the recent development in Deep Neural Networks. By using these systems and implementation of computer vision and machine learning techniques, plant diseases can be detected. Here we have used transfer learning based approach to diagnose diseases of different plants using its images captured by camera devices either drone or smartphone. Our goal is to build a market oriented product for Plant Disease Detection, a smartphone app compatible with both smartphone camera and drone camera. The target group of the user is those who request a quick diagnosis on common leaf disease at any time of the day i.e. Farmers, agricultural industries, agricultural consultants and Government Agencies & Departments.
PlantVillage-Dataset
Dataset of diseased plant leaf images and corresponding labels
project_fletcher
Classifying Airbnb Reviews with Natural Language Processing
reinforcement-learning
Reinforcement learning material, code and exercises for Udacity Nanodegree programs.
rude-carnie
Age/Gender detection in Tensorflow
ShangtongZhang.github.io
My Homepage
slate
Slate is a Jekyll theme for GitHub Pages
ticker
An Android text view with scrolling text change animation