SiyangJ

SiyangJ's Stars

• facebookresearch/Detectron

  FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

  Language:Python26.2k9409265.5k

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python16.1k4323.2k6.9k

• huseinzol05/Stock-Prediction-Models

  Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

  Language:Jupyter Notebook8k3811252.8k

• eriklindernoren/PyTorch-YOLOv3

  Minimal PyTorch implementation of YOLOv3

  Language:Python7.3k1037052.6k

• Rockyzsu/stock

  30天掌握量化交易 (持续更新)

  Language:Python5.1k262301.3k

• zhixuhao/unet

  unet for image segmentation

  Language:Jupyter Notebook4.6k1022342k

• borisbanushev/stockpredictionai

  In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

  4.2k2672951.7k

• tensorflow/minigo

  An open-source implementation of the AlphaGoZero algorithm

  Language:C++3.5k150321558

• zvtvz/zvt

  modular quant framework.

  Language:Python3.2k136111857

• divamgupta/image-segmentation-keras

  Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

  Language:Python2.9k613471.2k

• jakeret/tf_unet

  Generic U-Net Tensorflow implementation for image segmentation

  Language:Python1.9k65270747

• lilianweng/stock-rnn

  Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

  Language:Python1.8k11728659

• jonkhler/s2cnn

  Spherical CNNs

  Language:Python9482848175

• WillKoehrsen/wikipedia-data-science

  Working with and analyzing Wikipedia Data

  Language:Jupyter Notebook691234287

• Scalsol/mega.pytorch

  Memory Enhanced Global-Local Aggregation for Video Object Detection, CVPR2020

  Language:Python56516121115

• firmianay/Life-long-Learner

  Personal Notes About Everything.

  435242264

• mrkolarik/3D-brain-segmentation

  This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404 .

  Language:Python21481449

• davisvideochallenge/davis2017-evaluation

  Evaluation Framework for DAVIS 2017 Semi-supervised and Unsupervised used in the DAVIS Challenges

  Language:Python17551142

• JonathonLuiten/PReMVOS

  Proposal-generation, Refinement and Merging for Video Object Segmentation

  Language:Python12981725

• garretthoffman/lstm-oreilly

  How to build a Multilayered LSTM Network to infer Stock Market sentiment from social conversation using TensorFlow.

  Language:Jupyter Notebook10011244

• happywu/Sequence-Level-Semantics-Aggregation

  Sequence Level Semantics Aggregation for Video Object Detection

  Language:Python8542019

• CICE-Consortium/CICE

  Development repository for the CICE sea-ice model

  Language:Fortran5717406131

• APPIAN-PET/APPIAN

  APPIAN is an open-source automated software pipeline for analyzing PET images in conjunction with MRI. The goal of APPIAN is to make PET tracer kinetic data analysis easy for users with moderate computing skills and to facilitate reproducible research.

  Language:JavaScript4061718

• mathesong/kinfitr

  kinfitr: PET Kinetic Modelling Using R

  Language:R313156

• tkkarjal/magia

  Automated brain PET analysis pipeline

  Language:MATLAB2710267

• HanGuo97/tf-library

  A (growing) collection of useful abstractions and implementations for research.

  Language:Python17202

• whoward69/DLL-VMC

  DLL - Various Mod Components

  Language:C++173018

• chanshing/sobolev_gan

  Pytorch implemention of Sobolev GAN (https://arxiv.org/abs/1711.04894)

  Language:Python8302

• NIRALUser/NeosegPipeline

  This tool allows segmentin brain MRI using a multi-atlas based approach either via joint label fusion (ANTS) or via generating a subject-specific atlas.

  Language:C++64135

• SiyangJ/DeepStock

  Stock price prediction. UNC 2018 Fall machine learning course final project.

  Language:Jupyter Notebook6302