avinashmnit30 Goto Github PK
Name: Avinash Sharma
Type: User
Company: Algolux
Bio: I am Imaging Scientist at Algolux in Montreal.
Location: Ottawa, Ontario, Canada
Blog: https://avitech.blog/
Name: Avinash Sharma
Type: User
Company: Algolux
Bio: I am Imaging Scientist at Algolux in Montreal.
Location: Ottawa, Ontario, Canada
Blog: https://avitech.blog/
Labs for a course in artificial neural networks.
The codes are the python implementation of different battery models.
BayesOpt: A toolbox for bayesian optimization, experimental design and stochastic bandits.
Super-project for modularized Boost
ByteTrack: Multi-Object Tracking by Associating Every Detection Box
Using Matlab (Computer Vision)
Chainer Implementation of Mask R-CNN. (Training code to reproduce the original result is available.)
Quick attempt at a panoptic segmentation model
This project implements a hybrid automata based behavioral control strategy for a differential drive robot.
Introduction to Parallel Programming class code
Make Darknet to support numpy array as input
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Easy Panoptic Segmentation implement in mmdet
The python codes implement the EV charging problem as static and dynamic optimization problem. The optimizers try to maximize the revenue and minimize the cost of the EV charging plant.
Reference implementation
Distributed Asynchronous Hyperparameter Optimization in Python
Image-Adaptive YOLO for Object Detection in Adverse Weather Conditions
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A python repository with easy to use machine learning tools for computer vision applicaitons
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
matplotlib: plotting with Python
Parallel Faster R-CNN implementation with MXNet.
Most popular metrics used to evaluate object detection algorithms
COCO 2018 Panoptic Segmentation Task API (Beta version)
This repository combines the MASK_RCNN algorithm for instance segmentation and DeepLabV2 Algorithm for semantic segmentation in order to produce predictions for the Panoptic Segmentation Challenge.
Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
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.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.