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Aqueduct is no longer being maintained. Aqueduct allows you to run LLM and ML workloads on any cloud infrastructure.
A repository of data on coronavirus cases and deaths in the U.S.
A game theoretic approach to explain the output of any machine learning model.
Streamlit — A faster way to build and share data apps.
Personal CRM. Remember everything about your friends, family and business relationships.
Drop-in replacement for argparse with added support for config files and environment variables.
Siamese and triplet networks with online pair/triplet mining in PyTorch
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
Lab materials for the Full Stack Deep Learning Course
Magnificent app which corrects your previous console command.
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Low-code framework for building custom LLMs, neural networks, and other AI models
A Flexible and Powerful Parameter Server for large-scale machine learning
Lime: Explaining the predictions of any machine learning classifier
🤖 GPU accelerated Neural networks in JavaScript for Browsers and Node.js
In-Browser Object Detection using Tiny YOLO on Tensorflow.js
Code for "High-Precision Model-Agnostic Explanations" paper
A Python toolbox for performing gradient-free optimization
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A system for quickly generating training data with weak supervision
A cd command that learns - easily navigate directories from the command line
Perform data science on data that remains in someone else's server
A List of Recommender Systems and Resources
An app that helps authors and publishers write book descriptions for a target K-12 age
A responsive app for conscious consumption of stressful daily news
To speedup and simplify image labeling/ annotation process with multiple supported formats.
PYBOSSA is the ultimate crowdsourcing framework (aka microtasking) to analyze or enrich data that can't be processed by machines alone.
Research into locomotion style transfer with Active Ragdolls (using MarathonEnvs +ml_agents)
Code for the paper "Exploration by Random Network Distillation"