artificial-intelligence
gdrl
| artificial-intelligence | gdrl | |
|---|---|---|
| 3 | 1 | |
| 176 | 747 | |
| - | - | |
| 4.6 | 10.0 | |
| 10 days ago | over 2 years ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | BSD 3-clause "New" or "Revised" License |
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artificial-intelligence
- First open-source TEXT-TO-VIDEO had been revealed!! I was playing with it and enhanced the FPS of the output 4x by combining the model with FILM frame interpolation. Check it here: https://github.com/PsorTheDoctor/artificial-intelligence/blob/master/modern_approach/video_interpolation/film.ipynb
- With this GAN-based approach I was able to clone an ability to modify human face featured in the viral FaceApp app in a pretty competitive way. I'm totally impressed how far this technology can go... My Github AI repo: https://github.com/PsorTheDoctor/artificial-intelligence
gdrl
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How to proceed further? (Learning RL)
I would recommend looking at Grokking Deep RL if you are looking for some hands on DRL practice in python without starting completely from scratch. You can find some of the jupyter notebooks here.
What are some alternatives?
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
deep-rl-class - This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
awesome-ai-awesomeness - A curated list of awesome awesomeness about artificial intelligence
World4AI - World4AI is an educational resource for AI.
Andrew-NG-Notes - This is Andrew NG Coursera Handwritten Notes.
baselines - OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Practical_RL - A course in reinforcement learning in the wild
Reinforcement-Learning - Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
machine-learning-book - Code Repository for Machine Learning with PyTorch and Scikit-Learn