Jaiganesh Srinivasan's repositories
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
awesome-algorithms
A curated list of awesome places to learn and/or practice algorithms.
RVC3-python
Code examples for Robotics, Vision & Control 3rd edition in Python
P-solver-git-tuts
Learning Git
slam-python_1
SLAM - Simultaneous localization and mapping using OpenCV and NumPy.
3Dreconstruction_1
3D reconstruction, sfm with Python3
Computer-vision-for-the-chemistry-lab
Use convolutional neural net to detect segment and classify material phases and vessels in chemistry lab and other setting involving materials in mostly transparent vessels
Einburgerungstest
Complete catalog of questions and answers for the test "Leben in Deutschland" and "EinbĂĽrgerungstest"
python-machine-learning-book
The "Python Machine Learning (1st edition)" book code repository and info resource
color_calibration
color calibration
Coursera-Deep-Learning
My notes / works on deep learning from Coursera
KITTI_visual_odometry
Tutorial for working with the KITTI odometry dataset in Python with OpenCV. Includes a review of Computer Vision fundamentals.
Homography-Estimation
A homography estimation project using a RANSAC algorithm.
SpaceXtract
Extraction and analysis of telemetry from rocket launch webcasts (from SpaceX and RocketLab)
structure-from-motion
A simplified version of incremental structure from motion to reconstruct the 3D structure of a scene from a sequence of 2D images
VMLS-Companions
These are companion notebooks written in Julia and Python for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.
learnopencv
Learn OpenCV : C++ and Python Examples
plantcv
Plant image analysis using OpenCV
pandas_exercises
Practice your pandas skills!
Data_Driven_Science_Python_Demos
IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by J. Nathan Kutz and Steven L. Brunton
deepLearningBook-Notes
Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)
how-to-sfm
A self-reliant tutorial on Structure-from-Motion
CVND
Computer vision nanodegree by Udacity
vtkplotter
A python class for scientific visualization of 3D objects with VTK
structure-from-motion-with-OpenCV
Exercise structure from motion pipeline with OpenCV.
tf_calib
Tensorflow camera calibrator
DatasciencefromScratch
Personal learning repo
pytorch-yolo-v3
A PyTorch implementation of the YOLO v3 object detection algorithm
AI101-DeepLearning
AI101 - Comprehensive Deep Learning Tutorial
Snnapy2
Detect faces in photos and draw overlay image filters