maxi-marufo's Stars
ray-project/ray
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
pydantic/pydantic
Data validation using Python type hints
recommenders-team/recommenders
Best Practices on Recommendation Systems
google/sentencepiece
Unsupervised text tokenizer for Neural Network-based text generation.
NicolasHug/Surprise
A Python scikit for building and analyzing recommender systems
lyst/lightfm
A Python implementation of LightFM, a hybrid recommendation algorithm.
grahamjenson/list_of_recommender_systems
A List of Recommender Systems and Resources
benfred/implicit
Fast Python Collaborative Filtering for Implicit Feedback Datasets
unionai-oss/pandera
A light-weight, flexible, and expressive statistical data testing library
iryna-kondr/scikit-llm
Seamlessly integrate LLMs into scikit-learn.
maciejkula/spotlight
Deep recommender models using PyTorch.
facebookresearch/InferSent
InferSent sentence embeddings
Hironsan/awesome-embedding-models
A curated list of awesome embedding models tutorials, projects and communities.
PrincetonML/SIF
sentence embedding by Smooth Inverse Frequency weighting scheme
statisticianinstilettos/recmetrics
A library of metrics for evaluating recommender systems
amanchadha/coursera-machine-learning-engineering-for-prod-mlops-specialization
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
kennethleungty/MLOps-Specialization-Notes
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
EFS-OpenSource/calibration-framework
The net:cal calibration framework is a Python 3 library for measuring and mitigating miscalibration of uncertainty estimates, e.g., by a neural network.
charles9n/bert-sklearn
a sklearn wrapper for Google's BERT model
UKPLab/arxiv2018-xling-sentence-embeddings
Concatenated Power Mean Embeddings as Universal Cross-Lingual Sentence Representations
avidale/compress-fasttext
Tools for shrinking fastText models (in gensim format)
torrvision/focal_calibration
Code for the paper "Calibrating Deep Neural Networks using Focal Loss"
scikit-learn-contrib/hiclass
A python library for hierarchical classification compatible with scikit-learn
ondrejbohdal/meta-calibration
Official PyTorch implementation of "Meta-Calibration: Learning of Model Calibration Using Differentiable Expected Calibration Error"
slanglab/freq-e
Class frequency estimation software package
andregustavom/mlquantify
This project presents a framework to deal with a recently proposed machine learning task that aims to estimate the class distribution in a test set, named quantification or counting.
slanglab/doc_prevalence
Code to accompany the paper "Uncertainty-aware generative models for inferring document class prevalence" EMNLP 2018
afonsofvaz/ratio_estimator
Experiments codes
ben-denham/gsls
Source-code for "Gain-Some-Lose-Some: Reliable Quantification Under General Dataset Shift"