remyaem Goto Github PK
Type: User
Location: Seattle
Type: User
Location: Seattle
Fast and flexible AutoML with learning guarantees.
An Open-Source Collection of +200 Algorithmic Flash Cards to Help you Preparing your Algorithm & Data Structure Interview 💯
Narrative Visualization
Accessible AutoML for deep learning.
A comprehensive collection of KAN(Kolmogorov-Arnold Network)-related resources, including libraries, projects, tutorials, papers, and more, for researchers and developers in the Kolmogorov-Arnold Network field.
A curated list of resources dedicated to text summarization
TensorFlow code and pre-trained models for BERT
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
Bit Twiddling Hacks By Sean Eron Anderson: code snippets in Python
All Computer vision related projects are listed.
d3 narrative visualization
Exploratory data analysis with Tableau, matplotlib and R
This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
Keras code and weights files for popular deep learning models.
Understanding deep learning with classification and regression projects with intense computation
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body
Deep Learning for NLP resources
Machine learning models and utilities for exoplanet science.
The fastai book, published as Jupyter Notebooks
Style transfer, deep learning, feature transform
Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/
GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral) [PyTorch]
Tutorials and training material for the H2O Machine Learning Platform
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Keras Implementation of Painting outside the box
This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.
Problem Statement: Given a particular PDF/Text document ,How to extract keywords and arrange in order of their weightage using Python?
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.