ealcobaca

ealcobaca's Stars

• openai/gym

  A toolkit for developing and comparing reinforcement learning algorithms.

  Language:Python34.7k1.1k1.8k8.6k

• terryum/awesome-deep-learning-papers

  The most cited deep learning papers

  Language:TeX25.5k2k264.5k

• qdrant/qdrant

  Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

  Language:Rust20.4k1251.3k1.4k

• Delgan/loguru

  Python logging made (stupidly) simple

  Language:Python19.8k1421k697

• facebook/prophet

  Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

  Language:Python18.4k4522.1k4.5k

• visenger/awesome-mlops

  A curated list of references for MLOps

  12.6k396151.9k

• lazyprogrammer/machine_learning_examples

  A collection of machine learning examples and tutorials.

  Language:Python8.4k619526.3k

• probml/pyprobml

  Python code for "Probabilistic Machine learning" book by Kevin Murphy

  Language:Jupyter Notebook6.5k1924561.5k

• rmcelreath/stat_rethinking_2022

  Statistical Rethinking course winter 2022

  Language:R4.1k22422445

• facebookresearch/StarSpace

  Learning embeddings for classification, retrieval and ranking.

  Language:C++3.9k176199531

• salesforce/Merlion

  Merlion: A Machine Learning Framework for Time Series Intelligence

  Language:Python3.4k5687299

• OpenTabletDriver/OpenTabletDriver

  Open source, cross-platform, user-mode tablet driver

  Language:C#2.7k411.6k340

• nubank/fklearn

  fklearn: Functional Machine Learning

  Language:Jupyter Notebook1.5k10451165

• vturrisi/solo-learn

  solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

  Language:Python1.4k11161186

• facebookresearch/balance

  The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.

  Language:Python68672941

• joshlk/k-means-constrained

  K-Means clustering - constrained with minimum and maximum cluster size. Documentation: https://joshlk.github.io/k-means-constrained

  Language:Jupyter Notebook19264643

• scikit-learn-contrib/scikit-learn-extra

  scikit-learn contrib estimators

  Language:Python188207143

• ealcobaca/pymfe

  Python Meta-Feature Extractor package.

  Language:Python12564728

• kno10/python-kmedoids

  Fast K-Medoids clustering in Python with FasterPAM

  Language:Python644208

• Bonidia/MathFeature

  Feature Extraction Package for Biological Sequences

  Language:Python491316

• Frozenmad/MetaDelta

  1st solution to AAAI 2021 and NeurIPS 2021 MetaDL competition from Team Meta_Learners. Serve as a strong baseline for cd metadl challenge.

  Language:Python46205

• maponti/deeplearning_intro_datascience

  Minicurso Deep Learning: Introduction to Data Science

  Language:Jupyter Notebook29407

• gabrieljaguiar/nemenyi

  Post-hoc Nemenyi test for algorithm statistical comparison.

  Language:Python21427

• ealcobaca/meta-padawan

  Meta-Padawan solution to the NeurIPS (2021) - Few-shot learning competition.

  Language:Python9100

• IuryBAS/NavVisualSemanticMemory

  Language:Python7211

• liviaspereira/causal_impact

  Language:Jupyter Notebook2100

• liviaspereira/analise-elasticidade

  Language:Jupyter Notebook10

• liviaspereira/DataViz

  Language:Python10

• liviaspereira/desafio_inferencia

  Language:Jupyter Notebook1100

• liviaspereira/items_crud

  Language:Python1100