eduardodut

eduardodut's Stars

• JerBouma/FinanceToolkit

  Transparent and Efficient Financial Analysis

  Language:Python3.3k388

• JerBouma/FinanceDatabase

  This is a database of 300.000+ symbols containing Equities, ETFs, Funds, Indices, Currencies, Cryptocurrencies and Money Markets.

  Language:Jupyter Notebook4.6k497

• Cinnamon/kotaemon

  An open-source RAG-based tool for chatting with your documents.

  Language:Python21.8k1.7k

• firmai/financial-machine-learning

  A curated list of practical financial machine learning tools and applications.

  Language:Python7.7k1.3k

• dbrojas/optlib

  A library for financial options pricing written in Python.

  Language:Python70195

• Shubhamsaboo/awesome-llm-apps

  Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

  Language:Python20.8k2.4k

• hydralauncher/hydra

  Hydra is a game launcher with its own embedded bittorrent client

  Language:TypeScript12.1k3.3k

• sktime/pytorch-forecasting

  Time series forecasting with PyTorch

  Language:Python4.2k665

• facebook/prophet

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

  Language:Python19k4.6k

• thuml/Time-Series-Library

  A Library for Advanced Deep Time Series Models.

  Language:Python8.3k1.3k

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  68.4k9.3k

• cdarlint/winutils

  winutils.exe hadoop.dll and hdfs.dll binaries for hadoop windows

  Language:Shell2k2.2k

• spark-examples/spark-scala-examples

  This project provides Apache Spark SQL, RDD, DataFrame and Dataset examples in Scala language

  Language:Scala561554

• big-data-europe/docker-hive

  Language:Shell1k559

• developershomes/SparkETL

  Spark all the ETL Pipelines

  Language:Jupyter Notebook3221

• ultralytics/ultralytics

  Ultralytics YOLO11 🚀

  Language:Python38.4k7.4k

• mindee/doctr

  docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

  Language:Python4.5k487

• timeseriesAI/tsai

  Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

  Language:Jupyter Notebook5.5k682

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  28.3k2.3k

• qingsongedu/time-series-transformers-review

  A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

  2.7k255

• gzerveas/mvts_transformer

  Multivariate Time Series Transformer, public version

  Language:Python812177

• microsoft/EdgeML

  This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.

  Language:C++1.6k374

• iterative/dvc

  🦉 Data Versioning and ML Experiments

  Language:Python14.3k1.2k

• IBM/MAX-OCR

  MAX Optical Character Recognition

  Language:Python4930

• ceph/ceph

  Ceph is a distributed object, block, and file storage platform

  Language:C++14.8k6k

• ashishpatel26/ResourceBank_CV_NLP_MLOPS_2022

  This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.

  Language:Jupyter Notebook41891

• haoyfan/SemiTime

  SemiTime (ICASSP2021)

  Language:Python396

• dmlc/dgl

  Python package built to ease deep learning on graph, on top of existing DL frameworks.

  Language:Python13.8k3k

• QData/spacetimeformer

  Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."

  Language:Jupyter Notebook840193

• WenjieDu/PyPOTS

  A Python toolkit/library for reality-centric machine/deep learning and data mining on partially-observed time series, including SOTA neural network models for scientific analysis tasks of imputation/classification/clustering/forecasting/anomaly detection/cleaning on incomplete industrial (irregularly-sampled) multivariate TS with NaN missing values

  Language:Python1.3k128