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Exploring whether attention is necessary for vision transformers
DoubleML - Double Machine Learning in Python
EMNLP'2021: Simple Entity-centric Questions Challenge Dense Retrievers
Pytorch implementation of our paper under review -- Non-Parametric Adaptive Network Pruning
An Implementation of ERNIE For Language Understanding (including Pre-training models and Fine-tuning tools)
Connecting openFrameworks to Google MediaPipe Machine Learning Framework over UDP
The open-source tool for building high-quality datasets and computer vision models
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
My first attempt at git and github.
A fast and lightweight AutoML library.
12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/
Gluon CV Toolkit
Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Source Code for 'Hands-on Time Series Analysis with Python' by B V Vishwas and Ashish Patel
Machine learning in FPGAs using HLS
Hierarchical Memory Matching Network for Video Object Segmentation (ICCV 2021)
Supplementary code for the paper "Hyperbolic Image Embeddings".
The code for iHateregex.io 😈 - The Regex Cheat Sheet
Notebooks for learning about the layers of a convolutional neural network.
Provides a common interface to many IR ranking datasets.
Create interactive screencasts inside Jupyter Notebook that anybody can play back
Find Dates, Places, Times, and More. A .js library for parsing text for specific information.
This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in Twitter.
Collection of algorithms to learn loss and reward functions via gradient-based bi-level optimization.
Classical equations and diagrams in machine learning
Collection of Machine Learning and Deep learning models
My personal notes on Machine Learning
Python code for common Machine Learning Algorithms
Markov Chains and Hidden Markov Models to generate and correct sentences
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.