- London, UK
- https://oduwa.github.io
Stars
AI Prediction api of the MusicLang package
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest research
Label, clean and enrich text datasets with LLMs.
OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
The Official Python Client for Lamini's API
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHX…
Hosting read-only SQLite databases on static file hosters like Github Pages
WVWalkthroughView is an objective C based utility to highlight certain parts for iOS apps.
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Convolutional Neural Network for Text Classification in Tensorflow
AIVA (A.I. Virtual Assistant): General-purpose virtual assistant for developers.
A curated list of awesome iOS ecosystem, including Objective-C and Swift Projects
Library for fast text representation and classification.
An animated popover that pops out a given frame, great for subtle UI tips and onboarding.
Powerful text framework for iOS to display and edit rich text.
SoundCloud (and Bandcamp and Mixcloud) downloader in Python.
Curated List: Practical Natural Language Processing done in Ruby
Tweets a photo of a slowly growing plant every day at 10:17 am.
Semi-supervised learning frameworks for python, which allow fitting scikit-learn classifiers to partially labeled data
Project exploring counting objects in images using image analysis and machine learning.
Machine Learning Classifiers written in Swift to be used in Cocoa (iOS/OS X) development