theneuronprogrammer Goto Github PK
Name: Abhinaba Hazarika
Type: User
Location: Jorhat
Name: Abhinaba Hazarika
Type: User
Location: Jorhat
It contains the Attention-56 and Attention-96 models built from scratch in keras. Residual Attention Networks are described in the paper "Residual Attention Network for Image Classification"(https://arxiv.org/pdf/1704.06904.pdf).
Residual Attention Network for Image Classification
The project is about applying machine learning to find the probability of whether an advertisement will be clicked or not. For more details on the project please have a look at the project report
Papers on Computational Advertising
A piano that responds to you.
Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System
Course: Applied Machine Learning
Applied Artificial intelligence Course from Online course Notes
SMART REPLY USING DEEP LEARNING NLP TECHNIQUES
Resources about Artificial General Intelligence
A curated list of awesome Deep Learning tutorials, projects and communities.
A curated list of awesome mobile machine learning resources for iOS, Android, and edge devices.
A topic-centric list of HQ open datasets. PR ☛☛☛
🛰️ List of satellite image training datasets with annotations for computer vision and deep learning
A simple viewer for the .bvh animation file format written using raylib.
Drop in, configurable, dependency-free progress bars for your Django/Celery applications.
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
Powerful and efficient Computer Vision Annotation Tool (CVAT)
This is an official implementation for "DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation" (ECCV 2022)
Image restoration with neural networks but without learning.
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Using Satellite Imagery to detect ships (Basic Object Detection)
Notebooks for learning deep learning
This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.
An exploration strategy improves the diversity of de novo drug design using deep reinforcement learning
DSCR Dataset and the benchmark algorithms
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.