ML Showcase
What is ML Showcase?
Find interesting open-source machine learning projects from around the web. Filter by categories, try out demos, and explore the project's source code on Github. Sign up to get a weekly digest of newly added projects.
Features
- Curated Collection: Explore a curated list of open-source machine learning projects from around the web.
- Filter by Categories: Filter projects based on their natural language, image, audio, or video.
- Try out Demos: Experience the ML models in action through interactive demos.
- Explore on Github: Get access to the project's source code on Github to delve deeper.
Use Cases:
- Generating Images from Text Input: Generate an image based on a short input text using conditional GANs.
- Recognizing Activities using Smartphone Data: Recognize activities (e.g. running or sitting) using smartphone sensor data.
- Image-to-Image Translation: Translate an image from a source domain to a target domain in the absence of paired examples.
- Emotion/Gender Classification: Detect faces and classify emotions and gender in real-time using a keras CNN model and openCV.
- Composing Music with RNNs: Train a probabilistic model of polyphonic music inspired by the structure of convolutional neural networks.
ML-Showcase is your go-to directory for finding interesting open-source machine learning projects. From generating images to recognizing activities, our curated collection of ML projects covers a wide range of applications. Sign up to get a weekly digest of newly added projects delivered to your inbox.