nano-neuron
dalle-playground
| nano-neuron | dalle-playground | |
|---|---|---|
| 2 | 35 | |
| 2,237 | 2,770 | |
| - | - | |
| 0.0 | 3.8 | |
| about 2 years ago | 8 months ago | |
| JavaScript | JavaScript | |
| MIT License | MIT License |
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nano-neuron
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Self-Parking Car in <500 Lines of Code
I've covered Multilayer Perceptrons with a bit more details in my homemade-machine-learning, machine-learning-experiments, and nano-neuron projects. You may even challenge that simple network to recognize your written digits.
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JavaScript Algorithms and Data Structures
B NanoNeuron - 7 simple JS functions that illustrate how machines can actually learn (forward/backward propagation)
dalle-playground
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Discord bot with a locally-hosted SD backend.
Built on dalle-playground because it is simple and I like it.
- Neural photo engine with Intel compute stick?
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Free/open-source AI Text-To-Image Models that can be run on AWS?
[1] https://github.com/saharmor/dalle-playground
- ai_irl
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Running Dall-e mini on Windows? (Or: Are there any equivalent text-to-image AI's I can run on a windows PC with a 2080 TI?)
If you decide to abandon the idea of running locally and want to run in the cloud instead, https://github.com/saharmor/dalle-playground has a Google Colab notebook that's relatively easy to run (although Google Colab's free tier is relatively limited).
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Run Your Own DALLĀ·E Mini (Craiyon) Server on EC2
Next, we want the code in the https://github.com/hrichardlee/dalle-playground repo, and we want to construct a pip environment from the backend/requirements.txt file in that repo. We were almost able to use the saharmor/dalle-playground repo as-is, but we had to make one change to add the jax[cuda] package to the requirements.txt file. In case you havenāt seen jax before, jax is a machine-learning library from Google, roughly equivalent to Tensorflow or PyTorch. It combines Autograd for automatic differentiation and XLA (accelerated linear algebra) for JIT-compiling numpy-like code for Googleās TPUs or Nvidiaās CUDA API for GPUs. The CUDA support requires explicitly selecting the [cuda] option when we install the package.
- Dream's over guys...
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How to run DALLE-2 locally
Is their any way to run DALLE-2 inside of a docker container similarly to this DALLE-PLAYGROUND repo on github?
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How difficult would it be to set up your own DALL-E (mini/mega) API for side-projects?
I know there are open source projects like dalle-playground. Would it literally be enough to host this app on an EC2 instance with the mini model?
- an AI image generator capable of taking a prompt and making it come to life.
What are some alternatives?
self-parking-car-evolution - š§¬ Training the car to do self-parking using a genetic algorithm
Dannjs - Easy to use Deep Neural Network Library for JavaScript.
ARC - The Abstraction and Reasoning Corpus [Moved to: https://github.com/fchollet/ARC-AGI]
dalle-mini - DALLĀ·E Mini - Generate images from a text prompt
conference-deadlines - :alarm_clock: AI conference deadline countdowns + Calendar overview with deadlines and conference dates.
min-dalle - min(DALLĀ·E) is a fast, minimal port of DALLĀ·E Mini to PyTorch
igel - a delightful machine learning tool that allows you to train, test, and use models without writing code
CogVideo - text and image to video generation: CogVideoX (2024) and CogVideo (ICLR 2023)
incogly - Incogly is a video conferencing app aimed to remove any implicit bias in an interview and easing the process of remote collaboration.
pollinations - Free Open-Source Image and Text Generation
javascript-algorithms - š Algorithms and data structures implemented in JavaScript with explanations and links to further readings
dalle-flow - š A Human-in-the-Loop workflow for creating HD images from text