alpha-zero-general
tensorflow-onnx
| alpha-zero-general | tensorflow-onnx | |
|---|---|---|
| 4 | 7 | |
| 3,667 | 2,214 | |
| - | 1.1% | |
| 3.1 | 7.1 | |
| 2 months ago | 12 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | Apache License 2.0 |
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alpha-zero-general
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Competitive reinforcement learning for turn-based games
This is a good intro to alphazero and montecarlo treesearch , Followed by This repo.
- Looking for deeper understanding of AlphaZero algorithm
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Any interest in a strong Santorini (no powers) AI?
I'm not planning on sharing code at the moment as I'm still working on improving it. The main part of the code is simply from https://github.com/suragnair/alpha-zero-general plus my implementation of game logic (about 100 lines). So for you to use the AI you really need the weights for the neural network. I plan on releasing a better version than the current version in say two months or so.
tensorflow-onnx
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Operationalize TensorFlow Models With ML.NET
The easiest way to transform the downloaded TensorFlow model to an ONNX model is to use the tool tf2onnx from https://github.com/onnx/tensorflow-onnx
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Which models can be converted to ONNX?
But I found that there are limitation in practice. For instance, I found that the conversion of this model to ONNX fails when using tf2onnx.
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10$ Full Body Tracking! I'm proud to release ToucanTrack (in Beta!). Get decent FBT with the power of 2 PS3 Eye Cameras and AI!
They come in the form of tflite models, so I had to convert them to onnx. I used tf2onnx for converting the pose landmark model and tflite2tensorflow for converting the pose detection model. For improving performance, I had created a small script which modified the landmark models for supporting batch inference. This script is not included in the repository, but do tell me if you need it!
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Auto Annotation using ONNX and YOLOv7 model (Object Detection)
pb to ONNX Follow tensorflow-onnx:- https://github.com/onnx/tensorflow-onnx
- Can you inference a .tflite model file using Pytorch mobile?
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💊Your daily dose of machine learning : converting deep learning models to ONNX format
You can learn more about this tool on their github repo : https://github.com/onnx/tensorflow-onnx
What are some alternatives?
muzero-general - MuZero
mediapipe - Cross-platform, customizable ML solutions for live and streaming media.
minigo - An open-source implementation of the AlphaGoZero algorithm
PINTO_model_zoo - A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
a3c_trading - Trading with recurrent actor-critic reinforcement learning
CFU-Playground - Want a faster ML processor? Do it yourself! -- A framework for playing with custom opcodes to accelerate TensorFlow Lite for Microcontrollers (TFLM). . . . . . Online tutorial: https://google.github.io/CFU-Playground/ For reference docs, see the link below.
Practical_RL - A course in reinforcement learning in the wild
labml - 🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱
reversatile - Reversatile: Reversi for Android
infery-examples - A collection of demo-apps and inference scripts for various deep learning frameworks using infery (Python).
Popular-RL-Algorithms - PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..
toucan-track - Achieving Full Body Tracking for VRChat using 2 cameras and machine learning.