- I am AI researcher!
rashidch Goto Github PK
Name: Rashid Ali
Type: User
Bio: Building AI Systems to Automate the Boring tasks!
Location: Taiwan
Name: Rashid Ali
Type: User
Bio: Building AI Systems to Automate the Boring tasks!
Location: Taiwan
:page_with_curl: My fastpages blog.
An example of implementing adversarial discriminative domain adaptation on captcha dataset by using keras
This repository shows practical lab tasks of cloud computing using Linux virtual machine, Azure cloud services and AWS cloud services. It also contains a review article+ Essay+ Presentation on Cloud Technology Applications in Public Administration in Europe. I completed this work during Cloud Computing Applications course at University.
A technical report on convolution arithmetic in the context of deep learning
Code for paper "How transferable are features in deep neural networks?"
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
fast.ai Courses
Resources for Oreilly's "Cracking the Data Science Interview" video series.
data from the kaggle 'give me some credit" competition
Public facing notes page
Computer Vision Papers with Code in GitHub
Repository for all the tutorials and codes shared at cv-tricks.com
Deep Video Frame Interpolation using Cyclic Frame Generation
Bring data to life with SVG, Canvas and HTML. :bar_chart::chart_with_upwards_trend::tada:
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Windows and Linux version of Darknet Yolo v3 & v2 Neural Networks for object detection (Tensor Cores are used)
This repository shows Data Analysis tasks and project using SPSS which I completed at university.
Data Science by Johns Hopkins University
Data science interview questions with answers. Not ideally (yet)
:star2::star2: Projects , Blogs and Notebooks on numpy , scikit, pandas , matplotlib and usuage of Tensorflow :star2:
Compiled Notes for all 9 courses in the Coursera Data Science Specialization
The Leek group guide to data sharing
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
This is a reading list for deep learning for OCR
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Repo for the Deep Reinforcement Learning Nanodegree program
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.