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Name: David Liu
Type: User
Name: David Liu
Type: User
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
Awesome-LLM: a curated list of Large Language Model
机器学习,深度学习,自然语言处理,计算机视觉方面的顶级期刊会议论文集
A curated list of awesome Recommender System (Books, Conferences, Researchers, Papers, Github Repositories, Useful Sites, Youtube Videos)
Repository for scripts and notebooks from the book: Beginner’s Guide to Using PyTorchfor Deep Learning
This is a barebones Node.js app using the Express framework.
Dual LSTM Encoder for Dialog Response Generation
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
How to Win a Data Science Competition: Learn from Top Kagglers
How you measure the value of your customers? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am sharing the customer lifetime value prediction using BG-NBD, Pareto, NBD & Gamma Model on top of RFM in Python.
Deliberate Practice for Learning Deep Learning
Easy-to-use,Modular and Extendible package of deep-learning based CTR models.DeepFM,DeepInterestNetwork(DIN),DeepInterestEvolutionNetwork(DIEN),DeepCrossNetwork(DCN),AttentionalFactorizationMachine(AFM),Neural Factorization Machine(NFM),AutoInt
Implementation of Deep Learning based Recommender Algorithms with Tensorflow.
Deep learning operations reinvented (supports tf, pytorch, chainer, gluon and others)
Multi-core implementation of Regularized Greedy Forest
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Hiking: A crawler with Python
Simplifying robust end-to-end machine learning on Apache Spark.
Using Maching Learning KMeans Algorithm to reduce image colors and compress
A Library for Field-aware Factorization Machines
Library for factorization machines
Lifetime value in Python
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
A roadmap connecting many of the most important concepts in machine learning, how to learn them and what tools to use to perform them.
An all-in-one Docker image for machine learning. Contains all the popular python machine learning librairies (scikit-learn, xgboost, LightGBM, gensim,Keras, etc...).
Solutions in Python for Kevin Murphy's Machine Learning: a Probabilistic Perspective
Code for my OSCON 2015 talk
🖼️ Create beautiful maps from OpenStreetMap data in a streamlit webapp
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.