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Democratizing Internet-scale financial data.
📺 Discover the latest machine learning / AI courses on YouTube.
ImageBind One Embedding Space to Bind Them All
Use Kafka and Apache Spark streaming to perform click stream analytics
Extrapolating knowledge graphs from unstructured text using GPT-3 🕵️♂️
A Data Streaming Library for Efficient Neural Network Training
A playbook for systematically maximizing the performance of deep learning models.
time-series prediction for predictive maintenance
A checklist of Kubernetes best practices to help you release to production
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
GloVe word vector embedding experiments (similar to Word2Vec)
The Virtual Feature Store. Turn your existing data infrastructure into a feature store.
Materials for the Hugging Face Diffusion Models Course
Neural Networks: Zero to Hero
⚡ boost inference speed of T5 models by 5x & reduce the model size by 3x.
NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.