st186
Computer Vision Consultant @ Upwork, Tech Mahindra. Former AI Solution Architect @ Pavo & Tusker Innovations. Mentor @ Coursera for deeplearning.ai.
The AI buddyIndia
Pinned Repositories
alpr-unconstrained
License Plate Detection and Recognition in Unconstrained Scenarios
Autonomous-Vehicle
This project is based on the paper by NVIDIA named Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
Blockchain-Demo
Blockchain
car_damage_detection
This repo contains a web app which determines whether a car is damaged or not and also recognizes which part is damaged
complementary_label_learning
We will build a complementary label learning model on insurance data and MNIST data
DataScienceWithPython
I will post several tutorials and mini projects which I have made while studying Data Science course. I thought that this will be benificial for those who are new in the field of data science and this can just cater your needs as a Freshman.Do go through and try to contribute.Please feel free to pull a request.
Detection-of-Breast-Cancer-using-Neural-Networks
This project is made in Matlab Platform and it detects whether a person has cancer or not by taking into account his/her mammogram.
ObjectDetection_YOLOV5
We are going to train our open images dataset on YOLOv5
Satellite-Image-Data-Analysis-of-WIFIRE-using-numpy
WIFIRE is an integrated system for wildfire analysis, with specific regard to changing urban dynamics and climate. The system integrates networked observations such as heterogeneous satellite data and real-time remote sensor data, with computational techniques in signal processing, visualization, modeling, and data assimilation to provide a scalable method to monitor such phenomena as weather patterns that can help predict a wildfire's rate of spread. You can read more about WIFIRE at: https://wifire.ucsd.edu/ In this example, we will analyze a sample satellite image dataset from WIFIRE using the numpy Library.
Weather-Data-Clustering-Using-k-means
In this notebook, I will learn how to perform k-means lustering using scikit-learn in Python. I will use cluster analysis to generate a big picture model of the weather at a local station using a minute-graunlarity data. In this dataset, I have in the order of millions records. How do I create 12 clusters out of them? NOTE: The dataset that I will use is in a large CSV file called minute_weather.csv downloaded from: https://drive.google.com/open?id=0B8iiZ7pSaSFZb3ItQ1l4LWRMTjg
st186's Repositories
st186/Autonomous-Vehicle
This project is based on the paper by NVIDIA named Explaining How a Deep Neural Network Trained with End-to-End Learning Steers a Car
st186/car_damage_detection
This repo contains a web app which determines whether a car is damaged or not and also recognizes which part is damaged
st186/alpr-unconstrained
License Plate Detection and Recognition in Unconstrained Scenarios
st186/analytics-zoo
Distributed Tensorflow, Keras and BigDL on Apache Spark
st186/DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
st186/House-Price-Prediction-Using-Images-Texts
House Price Prediction using Images and Textual Data
st186/models
The ONNX Model Zoo is a collection of pre-trained, state-of-the-art models in the ONNX format
st186/ObjectDetection_YOLOV5
We are going to train our open images dataset on YOLOv5
st186/Blockchain-Demo
Blockchain
st186/complementary_label_learning
We will build a complementary label learning model on insurance data and MNIST data
st186/action-recognition-model
This is a project based on Computer Vision where I have built a deep learning Computer Vision model to recognize daily activities of people. The model is being trained on Kinetics Dataset.
st186/BoGAN
Pytorch implementation for “Scripted Video Generation with a Bottom-up Generative Adversarial Network”
st186/crosswalk_pedestrian_vehicle_detection
We will recognize Crosswalks, Pedestrian and Vehicles for our usecase using Tensorflow 2.0 Object Detection API
st186/Datascience-Path
A datascience curiculum
st186/dataset
The Open Images dataset
st186/DeepLab-v3
st186/detectingcontours
Detecting contours around tools
st186/ecommerce-website-design
Responsive Ecommerce Design
st186/GettingStartedWithTensorFlow
This is a repository I have made while I was learning Tensorflow. It contains some python notebooks to help you out in Tensorflow
st186/obscene-video-recognition
st186/pytorchvideo
Updated to deal with the torch.fx error
st186/rembg
Rembg is a tool to remove images background.
st186/SignDetectionOfDigits
Sign detection of digits using the tensorflow library with sign dataset
st186/slowfast
Slowfast repo
st186/SlowFast-1
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
st186/slowfast_training
st186/Task_for_ComputerVision
A task for Computer VIsion Role
st186/training-data-analyst
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
st186/weather-app-nodejs
st186/yolov5
YOLOv5 in PyTorch > ONNX > CoreML > TFLite