AdrianoMourthe
Data Scientist@DBEM | PhD student@PPGI/UNIRIO | Researcher student@IPEA
@IPEARio de Janeiro
AdrianoMourthe's Stars
apache/airflow
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
recommenders-team/recommenders
Best Practices on Recommendation Systems
fogleman/primitive
Reproducing images with geometric primitives.
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
intel-analytics/ipex-llm
Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, Phi, MiniCPM, etc.) on Intel XPU (e.g., local PC with iGPU and NPU, discrete GPU such as Arc, Flex and Max); seamlessly integrate with llama.cpp, Ollama, HuggingFace, LangChain, LlamaIndex, GraphRAG, DeepSpeed, vLLM, FastChat, Axolotl, etc.
probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
twitter/AnomalyDetection
Anomaly Detection with R
jmschrei/pomegranate
Fast, flexible and easy to use probabilistic modelling in Python.
SeldonIO/alibi
Algorithms for explaining machine learning models
modAL-python/modAL
A modular active learning framework for Python
johannfaouzi/pyts
A Python package for time series classification
xinychen/transdim
Machine learning for transportation data imputation and prediction.
ibayer/fastFM
fastFM: A Library for Factorization Machines
coreylynch/pyFM
Factorization machines in python
shobrook/communities
Library of community detection algorithms and visualization tools
iv-org/documentation
The official Invidious documentation
Coder-Yu/SELFRec
An open-source framework for self-supervised recommender systems.
Qwicen/node
Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data
kevinzakka/torchnca
A PyTorch implementation of Neighbourhood Components Analysis.
ArthurHeitmann/arctic_shift
Making Reddit data accessible to researchers, moderators and everyone else. Interact with the data through large dumps, an API or web interface.
hfawaz/cd-diagram
Critical difference diagram with Wilcoxon-Holm post-hoc analysis.
guoyang9/BPR-pytorch
A pytorch implementation for BPR (Bayesian Personalized Ranking).
ESSS/conda-devenv
A conda tool to work with multiple projects in development mode.
gvrkiran/whatsapp-public-groups
Code to get data from WhatsApp public groups
inpho/topic-explorer
System for building, visualizing, and working with LDA topic models
kieshaprem/covid19-agestructureSEIR-wuhan-social-distancing
Age-structured SEIR model for COVID-19 outbreak in Wuhan, China
estadao/matematica-das-epidemias
Código fonte das visualizações de dados feitas para a matéria sobre epidemiologia matemática
vbursztyn/whatsapp-data-collection
brasileiras-pln/tutoriais-iniciantes
Alguns tutoriais para iniciantes em PLN