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The Hidden Cost of Digital Consumption
Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:
Progressive matrices dataset, as described in: Measuring abstract reasoning in neural networks (Barrett*, Hill*, Santoro*, Morcos, Lillicrap), ICML2018
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
The official TensorFlow implementation of the paper "Action Transformer: A Self-Attention Model for Short-Time Pose-Based Human Action Recognition"
Adaptive, interpretable wavelets across domains (NeurIPS 2021)
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries
Mostly experiments based on "Advances in financial machine learning" book
Advanced Machine Learning Algorithms including Cost-Sensitive Learning, Class Imbalances, Multi-Label Data, Multi-Instance Learning, Active Learning, Multi-Relational Data Mining, Interpretability in Python using Scikit-Learn.
Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
advertools - online marketing productivity and analysis tools
Image Aesthetics Toolkit - includes Fisher Vector implementation, AVA (Image Aesthetic Visual Analysis) dataset and fast multi-threaded downloader
Deep Reinforcement Learning library for humans
AgentPy is an open-source framework for the development and analysis of agent-based models in Python.
An Open-source Framework for Autonomous Language Agents
Learning Unsupervised Video Object Segmentation through Visual Attention (CVPR19, PAMI20)
A C++ framework for MDPs and POMDPs with Python bindings
Bringing Characters to Life with Computer Brains in Unity
Official pytorch implementation of Active Learning for deep object detection via probabilistic modeling (ICCV 2021)
Fourier Neural Operators to solve for Allen Cahn PDE equations
Fourier Neural Operators to solve for Allen Cahn PDE equations
A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
PyTorch code for the ICCV'21 paper: "Always Be Dreaming: A New Approach for Class-Incremental Learning"
Python toolbox / library for power system transient dynamics simulation with symbolic modeling and numerical analysis 🔥
This repo contains annotated research papers that I found really good and useful
Machine Learning Experiment Manage Platform
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.