bitcoin_price_prediction
peacasso
Our great sponsors
| bitcoin_price_prediction | peacasso | |
|---|---|---|
| 1 | 2 | |
| 10 | 350 | |
| - | - | |
| 0.0 | 3.3 | |
| about 3 years ago | 9 months ago | |
| Jupyter Notebook | 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.
bitcoin_price_prediction
-
Deep And Machine Learning Based Bitcoin Price Prediction | OPEN SOURCE | Jupyter Notebook
Github: onuratakan/bitcoin_price_prediction: This project tries to prediction the bitcoin price with machine and deep learning. (github.com)
peacasso
-
[P] Mixing Prompts (with Weights) in Stable Diffusion Models
The concept is not entirely novel, but figuring out a good user experience is the more interesting part. It is implemented in the Peacasso library (based on huggingface diffusers).
-
[P] Peacasso - A Web UI for Stable Diffusion Models
Peacasso - a UI for interacting with stable diffusion models. As text to image models become smaller, with available weights and generate competitive images (e.g. stable diffusion models), there have been efforts to build interfaces for interacting with these models. Code and instructutions can be found on Github - https://github.com/victordibia/peacasso.
What are some alternatives?
mlnotify - 🔔 No need to keep checking your training - just one import line and you'll know the second it's done.
Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).
NYU-DLSP20 - NYU Deep Learning Spring 2020
stablediffusion-infinity - Outpainting with Stable Diffusion on an infinite canvas
TrainInvaders - 👾 Jupyter Notebook + Space Invaders!?
fake-news - Building a fake news detector from initial ideation to model deployment
mix_merkletree - Usefull Merkle Tree Example
stable-diffusion-howto - Run Stable Diffusion on your M1 Mac’s GPU (Intel and non-Apple PCs are also supported)
Python-Bible - Resourceful Python Collection
YOLOv3-Cloud-Based-Fire-Detection - Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc.
Animender - An AI that recommends anime based on personal history.
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained