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Oracle Labs & Politecnico di Milano
- Zurich
Stars
Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.
Relevant papers in Continual Learning
Collection of all of my notes on machine learning, topics span visual recognition, clustering, natural language processing and more.
A machine learning package for streaming data in Python. The other ancestor of River.
A playbook for systematically maximizing the performance of deep learning models.
SASRec: Self-Attentive Sequential Recommendation
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
MLPruning, PyTorch, NLP, BERT, Structured Pruning
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
Save Microsoft Stream videos uploaded by Politecnico di Milano.
Scraping, Statistical and Sentiment Analysis on Covid related Tweets and Public Data performed by the PMDS Projects team
Evaluate three types of task shifting with popular continual learning algorithms.
[ WSDM '22 ] On Sampling Collaborative Filtering Datasets
Hydra is a framework for elegantly configuring complex applications
🤗 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 List of Recommender Systems and Resources
Best Practices on Recommendation Systems
Sequential deep matching model for recommender system at Alibaba
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
Fast Python Collaborative Filtering for Implicit Feedback Datasets
A Python scikit for building and analyzing recommender systems