eecheonwu Goto Github PK
Name: Emmanuel Echeonwu
Type: User
Bio: Software Engineering & Applied Machine Learning | Deep Learning
Name: Emmanuel Echeonwu
Type: User
Bio: Software Engineering & Applied Machine Learning | Deep Learning
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Interpretability and explainability of data and machine learning models
This repository contains annotated datasets of UAV imagery and codes for object detection Project.
The Deep learning course revision materials
implementations of various types of auto-encoders in tensorflow(in progress)
A curated list of awesome data labeling tools
List of awesome resources for machine learning-based algorithmic trading
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Best Practices, code samples, and documentation for Computer Vision.
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
A collection of various deep learning architectures, models, and tips
Library for fast text representation and classification.
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Foundational library for Kernel methods in pattern analysis and machine learning
A Python code for generating k-mer features for a set of DNA/ genomic sequences.
Library for Semi-Automated Data Science
A PyTorch Library for Meta-learning Research
The Language Interpretability Tool: Interactively analyze NLP models for model understanding in an extensible and framework agnostic interface.
this is a fork of collection of books for machine learning.
The repository contains codes of my Projects
List of tech resources future me and other Javascript/Ruby/Python/Elixir/Elm developers might find useful
Courses and practical sessions for the Optimal Transport and Machine learning course at Statlearn 2018
POT : Python Optimal Transport
PyCon 2017 tutorial on time series analysis
A collection of Python packages for geospatial analysis with binder-ready notebook examples
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.