6108 Open source projects that are alternatives of or similar to Tweet Stance Prediction

A full implementation of Dave Green's "cubehelix" colormap for Python

Kaggle Quora Questions Pairs Competition

Fetching and processing NOAA Global Historical Climatology Network Weather Data

Microscopy Image Cytometry Toolkit

Leveling up your Jupyter notebook skills

公众号“无痛入门音乐科技”开源代码

Source material for Python Like You Mean it

scaffold of Apache Airflow executing Docker containers

A Tutorial for Serving Tensorflow Models using Kubernetes

Repository for benchmarking graph neural networks

Keras implementation of paper by the same name

Python codes for low-rank tensor factorization, tensor completion, and tensor regression techniques.

A site that displays up to date COVID-19 stats, powered by fastpages.

Stanford Project: Artificial Intelligence is changing virtually every aspect of our lives. Today’s algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is an exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Models that explain the returns of individual stocks generally use company and stock characteristics, e.g., the market prices of financial instruments and companies’ accounting data. These characteristics can also be used to predict expected stock returns out-of-sample. Most studies use simple linear models to form these predictions [1] or [2]. An increasing body of academic literature documents that more sophisticated tools from the Machine Learning (ML) and Deep Learning (DL) repertoire, which allow for nonlinear predictor interactions, can improve the stock return forecasts [3], [4] or [5]. The main goal of this project is to investigate whether modern DL techniques can be utilized to more efficiently predict the movements of the stock market. Specifically, we train a LSTM neural network with time series price-volume data and compare its out-of-sample return predictability with the performance of a simple logistic regression (our baseline model).

Cloud-native SIEM for intelligent security analytics for your entire enterprise.

金融知识图谱构建

course materials for introduction to deep learning 2020

Commenting and annotation for JupyterLab

COVID-19 workflows and datasets.

Machine Learning for Cybersecurity Cookbook, published by Packt

Models and Pipelines for the Spark NLP library

Facial Head Pose Tracker for Gaming

Machine learning projects, often on audio datasets

Repository for TweetEval

Material and note of the course of Applied ML in Python

a nose plugin for finding and running IPython notebooks as nose tests

Code for paper "Convergent Learning: Do different neural networks learn the same representations?"

GitHub Action for repo2docker

Python High Performance – Second Edition, published by Packt

Compressed Sensing MRI based on Deep Generative Adversarial Network

Python Cellular Sheaf Library

TensorFlow 1.x Deep Learning Cookbook, published by Packt

Inference case studies in jupyter

Reinforcement learning material, code and exercises for Udacity Nanodegree programs.

Faster-RCNN based on Densecap(deprecated)

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

Software for the visualization of sequence-function relationships

Source code for my blog post series "On-device training with Core ML"

import code from IJulia Jupyter notebooks into Julia programs

创建《Python自然语言处理》学习代码的中文注释版本。

Game Theory and Python, a workshop investigating repeated games using the prisoner's dilemma

Automatic detection of foreign objects on chest X-rays

图像检索和向量搜索，similarity learning,compare deep metric and deep-hashing applying in image retrieval

基于PyTorch&YOLOv4实现的口罩佩戴检测 ⭐️ 自建口罩数据集分享

Modular multitask reinforcement learning with policy sketches

Neural reparameterization improves structural optimization

A lightweight book theme built off of the pydata sphinx theme

Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019

Natural Language Processing

A collection of code examples as well as presentations for training purposes

Knowledge Graph Toolkit

Robust Object Classification of Occluded Objects in Forward Looking Infrared (FLIR) Cameras