gdmaru

gdmaru's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python132k1.1k15.8k26.4k

• jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction

  LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

  Language:Python4.8k252882k

• BlackArbsCEO/Adv_Fin_ML_Exercises

  Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

  Language:Jupyter Notebook1.7k15634633

• deependersingla/deep_trader

  This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

  Language:Python1.5k17317505

• tgjeon/TensorFlow-Tutorials-for-Time-Series

  TensorFlow Tutorial for Time Series Prediction

  Language:Jupyter Notebook1.1k9013419

• facebookresearch/adaptive-span

  Transformer training code for sequential tasks

  Language:Python609162159

• Mostafa-Samir/DNC-tensorflow

  A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

  Language:Jupyter Notebook5815318165

• datacamp/course-resources-ml-with-experts-budgets

  Further student resources for DrivenData's 'Machine Learning with the Experts: School Budgets' DataCamp course.

  Language:Jupyter Notebook558395633

• bpsmith/tia

  Toolkit for integration and analysis

  Language:Python4075753164

• bloomberg/scatteract

  Project which implements extraction of data from scatter plots

  Language:Jupyter Notebook21010537

• fernandodelacalle/adv-financial-ml-marcos-exercises

  Exercises of the book: Advances in Financial Machine Learning by Marcos Lopez de Prado

  Language:Jupyter Notebook19411179

• philipperemy/fractional-differentiation-time-series

  As described in Advances of Machine Learning by Marcos Prado.

  Language:Python1187147

• bjpublic/kaggleml

  808658

• NLeSC/mcfly-tutorial

  tutorial for mcfly repository

  Language:Jupyter Notebook76154240

• bloomberg/cnn-rnf

  Convolutional Neural Networks with Recurrent Neural Filters

  Language:Python513022

• markbabbe/BERT-Stock-Prediction-Using-NLP

  In this project, my team and I use Google's new BERT model to predict the S&P 500 using SEC 8-K filings

  Language:Jupyter Notebook482034

• ceshine/pytorch-pretrained-BERT

  A PyTorch implementation of Google AI's BERT model provided with Google's pre-trained models, examples and utilities.

  Language:Jupyter Notebook303026

• bloomberg/sgtb

  Structured Gradient Tree Boosting

  Language:Python255114

• kirill-sidorchuk/lego_detector

  Lego parts classifier using deep neural networks

  Language:Python24313

• karthikmswamy/TF_Intro_Notebooks

  Notebooks for introductory lessons for learning TensorFlow 1.2 and Machine Learning

  Language:Jupyter Notebook17609

• bigdatasg/ai_from_data_to_device

  BigDataX Hands-on Workshop on end to end Machine Learning Engineering

  Language:Jupyter Notebook915

• YangLinyi/Leveraging-BERT-to-Improve-the-FEARS-Index-for-Stock-Forecasting

  Leveraging BERT to Improve the FEARS Index for Stock Forecasting

  5100