maary17

maary17's Stars

• microsoft/vscode

  Visual Studio Code

  Language:TypeScript166k3.3k188k30k

• facebookresearch/ParlAI

  A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

  Language:Python10.5k2821.5k2.1k

• facebookresearch/pytorch3d

  PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

  Language:Python9k1491.6k1.3k

• facebookresearch/demucs

  Code for the paper Hybrid Spectrogram and Waveform Source Separation

  Language:Python8.5k1565441.1k

• burnash/gspread

  Google Sheets Python API

  Language:Python7.2k158920952

• lining0806/PythonSpiderNotes

  Python入门网络爬虫之精华版

  Language:Python7k392102.2k

• facebookresearch/SlowFast

  PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

  Language:Python6.7k986941.2k

• facebookresearch/DiT

  Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

  Language:Python6.7k4483597

• facebookresearch/Kats

  Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristics, detecting change points and anomalies, to forecasting future trends.

  Language:Python5.5k79188565

• facebookresearch/ReAgent

  A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

  Language:Python3.6k147109524

• ax/apk.sh

  apk.sh makes reverse engineering Android apps easier, automating some repetitive tasks like pulling, decoding, rebuilding and patching an APK.

  Language:Shell3.4k2516194

• facebookresearch/theseus

  A library for differentiable nonlinear optimization

  Language:Python1.8k31194131

• facebookresearch/multimodal

  TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

  Language:Python1.5k2140148

• facebookresearch/CutLER

  Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

  Language:Python966156894

• facebookresearch/optimizers

  For optimization algorithm research and development.

  Language:Python481161935

• facebookresearch/labgraph

  LabGraph is a Python framework for rapidly prototyping experimental systems for real-time streaming applications. It is particularly well-suited to real-time neuroscience, physiology and psychology experiments.

  Language:Python162165247

• facebookresearch/LIGHT

  LIGHT is a platform for text-situated dialogue research. We originally hosted LIGHT as a live game with dialogue models in a grounded setting. This repo contains all of the code to get the LIGHT game running, as well as reproducible code for the research projects along the way of getting LIGHT to where it was.

  Language:Python68945

• facebookresearch/aepsych

  AEPsych is a tool for adaptive experimentation in psychophysics and perception research, built on top of gpytorch and botorch.

  Language:HTML58114744

• Klerith/flutter-riverpod-app

  Language:C++502039

• facebookresearch/where_to_begin

  Repo to reproduce results for Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning

  Language:Python25312

• facebookresearch/Data_Acquisition_for_ML_Benchmark

  DAM Data Acquisition for ML Benchmark, as part of the DataPerf benchmark suite, https://dataperf.org/

  Language:Python234204

• facebookresearch/qEUBO

  Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023

  Language:Python221603

• facebookresearch/dragonclaw_library

  code that goes with the dragonclaw paper

  Language:Python32090

• maary17/Analisis-Variables-Bancarias-BCP

  Language:Jupyter Notebook1100

• maary17/Google-Analytics-API-Python

  API Google Analytics junto Python para obtener información sobre cómo los usuarios usan un sitio web o aplicación. Ayuda a analizar y mejorar la experiencia del usuario de manera eficiente.

  Language:Python1100

• maary17/KKN-MachineLearning

  Clustering usuarios, implementado el algoritmo KNN

  Language:Jupyter Notebook1100

• maary17/Modelo-Diabetes-KNN-

  Language:Jupyter Notebook1100

• maary17/ProyectoGoogleAnalyticsAPI

  API Google Analytics

  Language:Python1100

• maary17/TrabajoBCP

  Repositorio Automatización trabajos

  Language:Jupyter Notebook1100

• maary17/ValorantAnalisys

  Los datos contienen dos tablas diferentes, jugadores y equipos. Las tablas muestran cómo se han desempeñado en las competencias y cuánto dinero han ganado en los deportes electrónicos de Valorant. Los datos fueron recopilados de Liquidpedia.

  Language:Jupyter Notebook1100