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awesome-diffusion-models

A collection of resources and papers on Diffusion Models

awesome-imitation-learning

A curated list of awesome imitation learning resources and publications

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

community-value-prediction-baseline

The implementation of baselines on community value prediction

covid19-ecommerce

Disruptions in Chinese E-commerce during COVID-19

data_download

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

folium-visualization

Python Data. Leaflet.js Maps.

gradio

Create UIs for prototyping your machine learning model in 3 minutes

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

neural_stpp

Deep generative modeling for time-stamped heterogeneous data, enabling high-fidelity models for a large variety of spatio-temporal domains.

neurawkes

Source code of The Neural Hawkes Process (NIPS 2017)

pytorch-a2c-ppo-acktr-gail

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).

road-planning-for-slums

A deep reinforcement learning (DRL) based approach for slum upgrading

sequitur

Automatically exported from code.google.com/p/sequitur

spatial-temporal-patterns-of-online-food-ordering

statistical-machine-learning-hw

testaa

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

tutorial-webcon2024