329 Open source projects that are alternatives of or similar to DeepMove

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)

Stock for Deep Learning and Machine Learning

Conformalized Quantile Regression

Features a Networking Framework to be used on top of Unity Networking, in order to implement an Authoritative Server with Lag Compensation, Client-Side Prediction/Server Reconciliation and Entity Interpolation

MATLAB code for Relevance Vector Machine using SB2_Release_200.

Prediction of Premier league standings using Poisson distribution

Achoo uses a Raspberry Pi to predict if my son will need his inhaler on any given day using weather, pollen, and air quality data. If the prediction for a given day is above a specified threshold, the Pi will email his school nurse, and myself, notifying her that he may need preemptive treatment. Community-sourced health monitoring!

Visualize BERT's self-attention layers on text classification tasks

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

A pytorch implementation of the attention based ocr

📈 real-time cryptocurrency chart prediction based on neuronal-networks

Attention-based bidirectional LSTM for Classification Task (ICASSP)

Collection of custom layers and utility functions for Keras which are missing in the main framework.

GPT-2 Telegram Chat bot

Tidy, Type-Safe 'prediction()' Methods

This is the code base for Trajectory and Driver Behavior Prediction in Autonomous Vehicles using Spectral Graph Theory

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)

Software to post-process gridded weather forecasts

A Compositional Object-Based Approach to Learning Physical Dynamics

seq2seq attention tensorflow textrank context

Python based Graph Propagation algorithm, DeepWalk to evaluate and compare preference propagation algorithms in heterogeneous information networks from user item relation ship.

Age and Gender prediction using Keras

Genome annotation with AUGUSTUS

[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.

🐗 🐻 Deep Learning based Python Library for Stock Market Prediction and Modelling

Machine learning prediction of movies genres using Gensim's Doc2Vec and PyMongo - (Python, MongoDB)

Code and models for the manuscript "Predicting Poverty and Developmental Statistics from Satellite Images using Multi-task Deep Learning"

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

Search photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.

Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification (AAAI'19)

網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding

Neuron class provides LNU, QNU, RBF, MLP, MLP-ELM neurons

[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation

An Android app for viewing and predicting the latest World Rugby rankings 🏉

An easy neural network for Java!

Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series

A practice project for machine learning and stop price prediction

Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"

A pytorch implementation of https://arxiv.org/abs/1904.09925

Stacked Generalization (Ensemble Learning)

Predict time-series with one line of code.

Protein order and disorder data for Keras, Tensor Flow and Edward frameworks with automated update cycle made for continuous learning applications.

An implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem

Open solution to the Toxic Comment Classification Challenge

A Machine Learning Approach to Forecasting Remotely Sensed Vegetation Health in Python

Human Trajectory Prediction Dataset Benchmark (ACCV 2020)

Prediction or detection of various medical ailments

Extending broom for time series forecasting

Pedestrian Action Anticipation using Contextual Feature Fusion in Stacked RNNs

command line neural network

Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)

An easy neural network for Java!

R package for fitting joint models to time-to-event data and multivariate longitudinal data

A neural network library built in JavaScript

This is a project of build knowledge graph course. The project leverages historical stock price, and integrates social media listening from customers to predict market Trend On Dow Jones Industrial Average (DJIA).

Deep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)

An integrated framework in R for textual sentiment time series aggregation and prediction

Unofficial implementation algorithms of attention models on SNLI dataset