6754 Open source projects that are alternatives of or similar to Relation Classification Using Bidirectional Lstm Tree

This repository contains three ways to obtain arbitrage which are Dual Listing, Options and Statistical Arbitrage. These are projects in collaboration with Optiver and have been peer-reviewed by staff members of Optiver.

Fundamentals of Spark with Python (using PySpark), code examples

Portfolio Theory, Options Theory, & Quant Finance

Projects done in the Data Engineering Nanodegree by Udacity.com

Kaggle Segmentation Challenge

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

This repository provides everything you need to get started with Python for (social science) research.

Pytorch implementation of R-BERT: "Enriching Pre-trained Language Model with Entity Information for Relation Classification"

Notebooks for https://python.quantecon.org

Notebooks for upcoming fastai book (draft / incomplete)

An implementation of a sequence to sequence neural network using an encoder-decoder

Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2020)

MixText: Linguistically-Informed Interpolation of Hidden Space for Semi-Supervised Text Classification

Various math-related things in Python code

AI Toolkit for Azure IoT Edge

Stereo convolutional neural network for depth map prediction from stereo images

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

This repository contains code for the paper Learning by Association - A versatile semi-supervised training method for neural networks (CVPR 2017) and the follow-up work Associative Domain Adaptation (ICCV 2017).

Simplest and fastest image and text annotation tool.

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Predicting house prices using Linear Regression and GBR

Face Depixelizer based on "PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models" repository.

Keras-tensorflow implementation of PersonLab (https://arxiv.org/abs/1803.08225)

C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition

Notebook for my medium article about how to use Dataset API in TensorFlow

A Portfolio of my Data Science Projects

Apache Spark Connector for Azure Cosmos DB

Reinforcement Learning for Relation Classification from Noisy Data(TensorFlow)

Tensorflow implementation of Deepminds dqn with double dueling networks

周志华-机器学习

A repository with solutions to the assignments on Andrew Ng's machine learning MOOC on Coursera

PyTorch implementation of SLAYER for training Spiking Neural Networks

Based on "Image Quilting for Texture Synthesis and Transfer" and "Real-Time Texture Synthesis by Patch-Based Sampling" papers

Project analyzes Amazon Stock data using Python. Feature Extraction is performed and ARIMA and Fourier series models are made. LSTM is used with multiple features to predict stock prices and then sentimental analysis is performed using news and reddit sentiments. GANs are used to predict stock data too where Amazon data is taken from an API as Generator and CNNs are used as discriminator.

Python script (and IPython notebook) to perform RFM analysis from customer purchase history data

Macadam是一个以Tensorflow(Keras)和bert4keras为基础，专注于文本分类、序列标注和关系抽取的自然语言处理工具包。支持RANDOM、WORD2VEC、FASTTEXT、BERT、ALBERT、ROBERTA、NEZHA、XLNET、ELECTRA、GPT-2等EMBEDDING嵌入; 支持FineTune、FastText、TextCNN、CharCNN、BiRNN、RCNN、DCNN、CRNN、DeepMoji、SelfAttention、HAN、Capsule等文本分类算法; 支持CRF、Bi-LSTM-CRF、CNN-LSTM、DGCNN、Bi-LSTM-LAN、Lattice-LSTM-Batch、MRC等序列标注算法。

a bot that generates realistic replies using a combination of pretrained GPT-2 and BERT models

Julia Project web site (Old)

Big Data Ecosystem Docker

Tools for Sensor Fusion processing.

Deploy and scale serverless machine learning app - in 4 steps.

基于v2版本的deeplab,使用VGG16模型，在VOC2012，Pascal-context，NYU-v2等多个数据集上进行训练

Deformable Style Transfer (ECCV 2020)

python，机器学习笔记，machine learning，nlp

The fastai book, published as Jupyter Notebooks

Time Series Forecasting Best Practices & Examples

A library for federated learning (a distributed machine learning process) in an enterprise environment.

Training a Neural Network to Detect Gestures and Control Smart Home Devices with OpenCV in Python

image processing codes to understand algorithm

No description, website, or topics provided.

A Deep Learning Case Study to detect one of the Seven Human Facial Expressions in Still Images and in Real Time. This model is also trained enough to Detect Facial Expressions of Animated Images.

Enables the use of Stata together with Python via Jupyter (IPython) notebooks.

Curso de Datos Abiertos y Hacking Cívico, habilitando las capacidades de la ciudadanía y los servidores públicos en el uso de datos abiertos.

Kaggle problem solving

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

Visualizing CNN filters using PyTorch

Images and notebook for camera calibration

Powerful financial charting library based on R's Quantmod | http://py-quantmod.readthedocs.io/en/latest/