pendulum_NN
stylegan2-projecting-images
pendulum_NN | stylegan2-projecting-images | |
---|---|---|
5 | 136 | |
9 | 288 | |
- | - | |
0.0 | 10.0 | |
about 3 years ago | over 1 year ago | |
Python | Jupyter Notebook | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
pendulum_NN
-
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.
-
What are the go-to algorithms for robot balancing?
If you really want a fun over-engineered solution, check out mine
-
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
-
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.
-
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.
stylegan2-projecting-images
-
Getting Started with Gemma Models
A Colab notebook.
- Welcome to Colaboratory
-
A playground to practice differential privacy - Antigranular
To play with the dataset, we first must create a Jupyter notebook, a powerful and popular tool among data engineers. I created mine on Google Colab.
-
Topic and Subtopic Extraction with the Google Gemini Pro
Please head over to the Google Colab
-
How do I begin building AI tools for myself?
But regardless of what you want to do, you'll probably use Python. In this context, a good way to work with Python is using Jupyter Notebooks. So you should start with installing Python and Jupyter and go from there. If you want to get started without installing anything, Google Colab gives you a remote Jupyter Notebook which runs in the browser for free.
-
教程:使用 Google Colab 安全地转发 B 站视频
访问 Google Colab 。
-
Journey into Jupyter Notebooks: A Beginner's Guide
Remember school days when you'd share notes with classmates? Jupyter takes that spirit and amplifies it. Once you've crafted your Notebook, you can share it with peers, collaborators, and the world. Platforms like GitHub and Google's Colab natively render Jupyter Notebooks. It's like penning an open letter to the world but in a delightful mix of code, text, and visuals.
- This feels like an obvious question, but if I load a pickle file that is 1GB in size, is it taking up 1GB of memory?
-
Leveraging Google Colab to run Postgres: A Comprehensive Guide
Open your web browser and navigate to Google Colab.
-
No excuses to start working with Python
Using Google Colab you can develop Python codes, similar to Jupyter Notebooks. You will have an environment prepared with various Python libraries. In addition you have tips on small codes for development, some tutorials, gihub connection, cloud -saved notebooks and more.
What are some alternatives?
GnomansLand - An open-world reinforcement learning playground for gnomes filled with dangerous peril and bountiful treasure.
fast-stable-diffusion - fast-stable-diffusion + DreamBooth
gym - A toolkit for developing and comparing reinforcement learning algorithms.
stable-diffusion-webui-colab - stable diffusion webui colab
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.
gimp-stable-diffusion
segmentation_models - Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
discoart - 🪩 Create Disco Diffusion artworks in one line
pytorch2keras - PyTorch to Keras model convertor
quickstart-android - Firebase Quickstart Samples for Android
comfyui-colab - comfyui colabs templates new nodes
textual_inversion