Examples + Visualizations of datasets modeled using automl-gs
MIT License
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Train a neural network optimized for generating tweets based off of any number of Twitter users.
Test prompts for OpenAI's GPT-3 API and the resulting AI-generated texts.
Code Release of F-LMM: Grounding Frozen Large Multimodal Models
Python script to generate fake datasets optimized for testing machine learning/deep learning work...
Easily train your own text-generating neural network of any size and complexity on any text datas...
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Colla...
Python code to submit rotated images to the Cloud Vision API + R code for visualizing it
Python script to preprocess images of all Pokémon to finetune ruDALL-E
State-of-the art Automated Machine Learning python library for Tabular Data
Fast and customizable framework for automatic ML model creation (AutoML)
A repository containing 300D character embeddings derived from the GloVe 840B/300D dataset, and u...
Train a neural network optimized for generating Reddit subreddit posts
A robust Python tool for text-based AI training and generation using GPT-2.
Provide an input CSV and a target field to predict, generate a model + code to run it.
Python script to download public Tweets from a given Twitter account into a format suitable for A...