Reinforcement-Learning
diffusion_models
| Reinforcement-Learning | diffusion_models | |
|---|---|---|
| 1 | 4 | |
| 4,091 | 152 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| almost 4 years ago | almost 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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Reinforcement-Learning
diffusion_models
- [Variational and Diffusion Methods] Minimal standalone example of diffusion model
- A minimal standalone example of diffusion model
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(unguided) Sampling from a diffusion model
I'm trying to figure out a way to reproduce the sampling method used in the DDPM model arxiv link. The codebase link is roughly here for the original model and for improved DDPMs here. There is also implementations recently posted to r/MachineLearning such as this one (check the reverse process section) and finally this last one.
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[P] Hands on diffusion models
A minimal example of the forward and reverse flow of diffusion models with equations from the paper and visualizations alongside the code: https://github.com/InFoCusp/diffusion_models I coded it up since I wanted to familiarize myself with rhe end to end flow. It uses a simple 2d dataset that can train within minutes. Hope others on this subreddit find it useful.
What are some alternatives?
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).
nlpaug - Data augmentation for NLP
FinRL-Library - Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance. NeurIPS 2020 & ICAIF 2021. 🔥 [Moved to: https://github.com/AI4Finance-Foundation/FinRL]
score_sde_pytorch - PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
DeepRL-TensorFlow2 - 🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Compositional-Visual-Generation-with-Composable-Diffusion-Models-PyTorch - [ECCV 2022] Compositional Generation using Diffusion Models
Stock-Prediction-Models - Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
DiffusionFastForward - DiffusionFastForward: a free course and experimental framework for diffusion-based generative models
snakeAI - testing MLP, DQN, PPO, SAC, policy-gradient by snake
machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.
TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
computervision-recipes - Best Practices, code samples, and documentation for Computer Vision.