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🤗 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.
Magnificent app which corrects your previous console command.
Streamlit — A faster way to build and share data apps.
Magenta: Music and Art Generation with Machine Intelligence
A cd command that learns - easily navigate directories from the command line
Python Implementation of Reinforcement Learning: An Introduction
Low-code framework for building custom LLMs, neural networks, and other AI models
Always know what to expect from your data.
Perform data science on data that remains in someone else's server
Deep universal probabilistic programming with Python and PyTorch
Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!
Ready-to-run Docker images containing Jupyter applications
A system for quickly generating training data with weak supervision
Keras model to generate HTML code from hand-drawn website mockups. Implements an image captioning architecture to drawn source images.
A Python toolbox for performing gradient-free optimization
Facilitating the design, comparison and sharing of deep text matching models.
Quickly and accurately render even the largest data.
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
Siamese and triplet networks with online pair/triplet mining in PyTorch
A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.
Code for the paper "Exploration by Random Network Distillation"
PYBOSSA is the ultimate crowdsourcing framework (aka microtasking) to analyze or enrich data that can't be processed by machines alone.
Drop-in replacement for argparse with added support for config files and environment variables.
A responsive app for conscious consumption of stressful daily news