Resumes generated using the GitHub informations

A collection of libraries to optimise AI model performances

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its go…

Transfer 🤗 Learning for Time Series Forecasting

Scalable machine 🤖 learning for time series forecasting.

Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.

Lightning ⚡️ fast forecasting with statistical and econometric models.

Scalable and user friendly neural 🧠 forecasting algorithms.

A scikit-learn compatible neural network library that wraps PyTorch

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

Streamline dataset debugging and model benchmarking with scikit-learn.

🤗 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.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

UnionML: the easiest way to build and deploy machine learning microservices

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

AI-powered Text-to-Art Generator - Text2Art.com