innakiGorostiaga
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Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)
OpenP5: An Open-Source Platform for Developing, Training, and Evaluating LLM-based Recommender Systems
Best Practices on Recommendation Systems
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
A Comparative Framework for Multimodal Recommender Systems
Jupyter notebooks for the Natural Language Processing with Transformers book
A repository for my PyCon talk: "Building a personal assistant with Haystack and GPT: How to feed facts to large language models and reduce hallucinations"
💫 Industrial-strength Natural Language Processing (NLP) in Python
🦜🔗 Build context-aware reasoning applications
The world's simplest facial recognition api for Python and the command line
Tesseract Open Source OCR Engine (main repository)
scikit-learn: machine learning in Python
Tensors and Dynamic neural networks in Python with strong GPU acceleration
An Open Source Machine Learning Framework for Everyone
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …
Distributed Asynchronous Hyperparameter Optimization in Python
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Multilingual Sentence & Image Embeddings with BERT
Sequential model-based optimization with a `scipy.optimize` interface
A Python implementation of LightFM, a hybrid recommendation algorithm.