pendulum_NN
pytorch2keras
pendulum_NN | pytorch2keras | |
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5 | 2 | |
9 | 846 | |
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0.0 | 0.0 | |
about 3 years ago | over 1 year ago | |
Python | Python | |
MIT License | MIT License |
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pendulum_NN
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I want to make an ai that plays games. I was wondering which programming language to use and resources to start from. Thanks in advance!
I coded a game environment and applied a genetic algorithm from scratch in python, here. Happy to answer any questions.
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What are the go-to algorithms for robot balancing?
If you really want a fun over-engineered solution, check out mine
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Where should I go next after having learned python and doing some basic projects.
I used Pygame and Keras to simulate and train an inverting pendulum
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Basic questions about neural net structure
My approach to an inverted pendulum game was evolving nets with genetic algorithms. The repo is decently commented if you want to take a look.
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Can you hlep me decide if a neural network would be the way to go?
A while back I evolved neural nets to balance an inverted pendulum. Designing an effective reward function and learning environment seemed to be the most critical aspects.
pytorch2keras
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Help Needed: Converting PlantNet-300k Pretrained Model Weights from Tar to h5 Format Help
It's almost certainly a pickled pytorch model so you will first need to load it using pytorch and then write it out to h5 (legacy keras format) with https://github.com/gmalivenko/pytorch2keras.
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Is Pytorch good deployment wise?
But of course, you can always train a model with one framework and run inference with another. For instance, pytorch2keras does exactly this.
What are some alternatives?
stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.
NudeNet - Neural Nets for Nudity Detection and Censoring
GnomansLand - An open-world reinforcement learning playground for gnomes filled with dangerous peril and bountiful treasure.
InvoiceNet - Deep neural network to extract intelligent information from invoice documents.
gym - A toolkit for developing and comparing reinforcement learning algorithms.
facenet-pytorch - Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models
ml-agents - The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
efficientnet-lite-keras - Keras reimplementation of EfficientNet Lite.
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
onnx-tensorflow - Tensorflow Backend for ONNX
cnn-watermark-removal - Fully convolutional deep neural network to remove transparent overlays from images
TensorFlow-object-detection-tutorial - The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch