Name: Sagar Kandpal
Type: User
Company: TataIQ, IIT Gandhinagar
Bio: Sagar Kandpal's main research is focused on the Application of Machine Learning, Deep Learning Models to real-world use cases, and Multiphysics Problems !!
Twitter: SagarKandpal2
Location: Banglore, Karnataka
š Iām currently working on creating Machine Learning,Deep Learning models for Real World use cases.
š± Iām currently learning Data Science and allied areas.
šÆ Iām looking to collaborate on on Data Science Projects.
šØāš» All of my projects are available here.
š Know about my experiences here.
š« How to reach me https://www.linkedin.com/in/sagar-kandpal-4942491a9/?originalSubdomain=in
Ā
lane_detection
Real-Time Lane Detection using OpenCV (Self-Driving Car Project!)
line-segmentation_opencv
Line Segmentation of IAM Forms using OpenCV.
lstm_autoencoders
Steps to follow for Anomaly Detection: Construct an LSTM Autoencoder on the stock price data, assuming there are no anomalies. Generate the error threshold on training dataset. Detect Anomaly using the threshold on test dataset.
machine-learning-collection
A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)
machine_learning_totorials
Machine Learning and Deep Learning Code Tutorials repository
manufacturing_ml
Project objective: Develop an integrated Evolutionary Approach for Modelling and Optimization using Multigene Genetic Programming and a Multi-objective Genetic Algorithm for Machining, Drilling, and Welding process parameters using GPTiPS Matlab.
ml_flow
ML_FLOW example
ml_live_class
Machine Learning Datasets Implementation
ml_regression_pyspark.ipynb
Pyspark Multiple Linear Regression Implementation In Google Colab
mnistcrnn
Simple TimeDistributed() wrapper Demo in Keras; sums images of MNIST digits
models
Models and examples built with TensorFlow
motif_discord
Motif and Discord Detection using Matrix Profile analysis
movie_recommender_system
A content based movie recommender system using cosine similarity.
netron
Visualizer for neural network, deep learning, and machine learning models
oidv4_toolkit
Download and visualize single or multiple classes from the huge Open Images v4 dataset
open_cv_tutorial
Image processing steps using Open Cv.
opencv-east.ipynb
Implementation of East Algorithm using OpenCv-Python
opencv_crnn
Implementation of CRNN Model using OpenCV-Python
opencv_extra
OpenCV extra data
openpose
Installing OpenPose with CUDA 10.1 and cuDNN for Ubuntu 18.04
perceptron_package
Perceptron Implementation using OR,AND,XOR and NAND gates.
perceptron_pypi_package
Creating Perceptron Package.
pyspark_dataanalysis
Pyspark- Dataframes, Data Preprocessing and Handling Missing Values
pytesseract_ocr
Implementation of OCR Pipeline using Pytesseract
quadrotor-dynamics
Quadrotor Dynamics Implementation in Matlab !
radiation_flux
Calculation of Short Wave Radiation flux anomaly at the top of atmosphere using NumPy, pandas, xarray, Basemap, and matplotlib libraries.
resourcebank_cv_nlp_mlops_2022
This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.
ros_motion
Moving Turtlesim robot in a straight Line, rotating left and right, Go to goal Location,Spiral control and cleaning application.
ros_topics_services
Basics of setting up ROS Workspace, creating packages and custom ROS topics, messages and services.
sagar-modelling
Config files for my GitHub profile.
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
š Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. ššš
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ā¤ļø Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
