6012 Open source projects that are alternatives of or similar to Ruijin_round2

基于深度学习的开源中文关系抽取框架

A PyTorch implementation of GraphRel

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

Convolutional Neural Network for Multi-label Multi-instance Relation Extraction in Tensorflow

论文实现(ACL2019)：《Matching the Blanks: Distributional Similarity for Relation Learning》

next generation slides for Jupyter Notebooks

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

This is the Code for "Deep Q Learning - The Math of Intelligence #9" By Siraj Raval on Youtube

An awesome semantic segmentation model that runs in real time

Predicting house prices using Linear Regression and GBR

The fastai book, published as Jupyter Notebooks

How to build RNNs and LSTMs from scratch with NumPy.

This repository walks you through how to Build and Run YOLOv4 Object Detections with Darknet in the Cloud with Google Colab.

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

🐍 Learn Python and Pandas from the ground up

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

Tutorial and Examples Jupyter Notebooks for Altair

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

[DEPRECATED] 🔊️ Audio with fastaiv1

Notebooks for https://python.quantecon.org

Federated Knowledge Extraction Framework

image processing codes to understand algorithm

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

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

iPython notebook and Android app that shows how to build LSTM model in TensorFlow and deploy it on Android

Create interactive textual heat maps for Jupiter notebooks

HandySpark - bringing pandas-like capabilities to Spark dataframes

Python library for identifying the peaks and valleys of a time series.

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

🍝 Pastas is an open-source Python framework for the analysis of hydrological time series.

I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!

Creates a learning-curve plot for Jupyter/Colab notebooks that is updated in real-time.

NMT for chinese-english using fairseq

COVID-19 Mobility Data Aggregator. Scraper of Google, Apple, Waze and TomTom COVID-19 Mobility Reports🚶🚘🚉

COMS W4995 Applied Machine Learning - Spring 18

Content for architecting a data science platform for products using Luigi, Spark & Flask.

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

Links to Russian corpora + Python functions for loading and parsing

资产配置方案

DataGene - Identify How Similar TS Datasets Are to One Another (by @firmai)

Python sample codes for robotics algorithms.

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

⭐️ PyTorch implement of Deeply Supervised Salient Object Detection with Short Connection

Images and notebook for camera calibration

机器学习&深度学习资料笔记&基本算法实现&资源整理（ML / CV / NLP / DM...）

Materials for the "Advanced Scikit-learn" class in the afternoon

Train transformer language models with reinforcement learning.

Tencent Social Ads 2017 contest rank 20

这个项目是基于论文YOLO9000: Better, Faster, Stronger的keras（backend：tensorflow）实现

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

A library to model multivariate data using copulas.

Detecting Pikachu on Android using Tensorflow Object Detection API

Multiscale Geographically Weighted Regression (MGWR)

Object detection and segmentation for a surgery robot using Mask-RCNN on Python 3, Keras, and TensorFlow..

This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation