macialek's Stars
lotus-data/lotus
LOTUS: A semantic query engine for fast and easy LLM-powered data processing
recommenders-team/recommenders
Best Practices on Recommendation Systems
Giskard-AI/giskard
🐢 Open-Source Evaluation & Testing for AI & LLM systems
Azure/mlops-v2
Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.
uber/causalml
Uplift modeling and causal inference with machine learning algorithms
PAIR-code/facets
Visualizations for machine learning datasets
tensorflow/data-validation
Library for exploring and validating machine learning data
modin-project/modin
Modin: Scale your Pandas workflows by changing a single line of code
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
allegro/HerBERT
HerBERT is a BERT-based Language Model trained on Polish Corpora using only MLM objective with dynamic masking of whole words.
kldarek/polbert
Polish BERT
idealo/image-quality-assessment
Convolutional Neural Networks to predict the aesthetic and technical quality of images.
fastapi/fastapi
FastAPI framework, high performance, easy to learn, fast to code, ready for production
facebook/prophet
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
sdadas/polish-sentence-evaluation
Evaluation of Sentence Representations in Polish
flairNLP/flair
A very simple framework for state-of-the-art Natural Language Processing (NLP)
deeppavlov/Slavic-BERT-NER
Shared BERT model for 4 languages of Bulgarian, Czech, Polish and Russian. Slavic NER model.
huggingface/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
facebookresearch/faiss
A library for efficient similarity search and clustering of dense vectors.
CorentinJ/Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
rasbt/DeepLearning-Gdansk2019-tutorial
Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
apaszke/apaszke.github.io
My personal website
zihangdai/xlnet
XLNet: Generalized Autoregressive Pretraining for Language Understanding
google-research/morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
google-research/bert
TensorFlow code and pre-trained models for BERT
Ermlab/pl-sentiment-analysis
n-waves/poleval2018
opendata-stuttgart/meta
Opendata Stuttgart organisiert und reguliert.