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Unified model for forecasting global climate modes
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An Awesome Collection of Urban Foundation Models (UFMs).
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Daily ArXiv Papers.
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A collection of resources and papers on Diffusion Models
A deep reinforcement learning (DRL) based approach for slum upgrading
Disruptions in Chinese E-commerce during COVID-19
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Python Data. Leaflet.js Maps.
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The implementation of baselines on community value prediction
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Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.
Source code of The Neural Hawkes Process (NIPS 2017)
Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
A curated list of awesome imitation learning resources and publications
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
Automatically exported from code.google.com/p/sequitur
PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722
Create UIs for prototyping your machine learning model in 3 minutes