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Jun 14, 2021 - Python
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prediction
Here are 2,019 public repositories matching this topic...
A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities
python
machine-learning
algorithm
video
gpu
detection
prediction
python3
artificial-intelligence
artificial-neural-networks
image-recognition
densenet
object-detection
squeezenet
inceptionv3
offline-capable
image-prediction
imageai
ai-practice-recommendations
finance
machine-learning
deep-learning
sentiment-analysis
python-library
prediction
stock-market
quantitative-finance
quantitative-trading
stock-prediction
stock-market-prediction
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Jan 17, 2021 - Python
A neural network library built in JavaScript
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Jul 7, 2017 - JavaScript
Machine Learning Platform and Recommendation Engine built on Kubernetes
python
java
docker
kubernetes
aws
machine-learning
cloud
microservices
kafka
spark
deep-learning
deployment
azure
tensorflow
gcp
prediction
recommendation-engine
recommender-system
kafka-streams
seldon
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Apr 12, 2020 - Java
A high-level machine learning and deep learning library for the PHP language.
php
data-science
machine-learning
natural-language-processing
algorithm
ai
deep-learning
neural-network
analytics
clustering
cross-validation
regression
prediction
artificial-intelligence
classification
rubix
machine-learning-library
feature-vector
hidden-layers
anomaly-detection
classification-trees
regression-trees
php-ml
php-ai
php-machine-learning
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Jun 19, 2021 - PHP
MLBox is a powerful Automated Machine Learning python library.
encoding
data-science
machine-learning
deep-learning
pipeline
optimization
keras
regression
prediction
distributed
kaggle
xgboost
classification
lightgbm
preprocessing
drift
automl
stacking
automated-machine-learning
auto-ml
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May 21, 2021 - Python
List of papers, code and experiments using deep learning for time series forecasting
deep-neural-networks
deep-learning
time-series
tensorflow
prediction
python3
pytorch
recurrent-neural-networks
lstm
series-analysis
forecasting-models
lstm-neural-networks
demand-forecasting
series-forecasting
sales-forecasting
time-series-classification
time-series-prediction
time-series-forecasting
series-classification
forecasting-competitions
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May 13, 2021 - Jupyter Notebook
RNN based Time-series Anomaly detector model implemented in Pytorch.
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Oct 21, 2020 - Python
Header-only library for using Keras models in C++.
python
c-plus-plus
machine-learning
library
deep-learning
cpp
tensorflow
cpp14
keras
prediction
c-plus-plus-14
header-only
convolutional-neural-networks
keras-models
edge-computing
tinyml
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May 29, 2021 - C++
machine-learning
neural-network
clustering
matlab
linear-regression
regression
prediction
octave
neural-networks
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Jul 8, 2020 - MATLAB
Deep neural network framework for multi-label text classification
nlp
machine-learning
deep-learning
neural-network
word2vec
prediction
classification
multi-label-classification
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Apr 8, 2020 - Python
python
opencv
data-science
machine-learning
deep-neural-networks
computer-vision
deep-learning
tensorflow
detection
image-processing
prediction
object-detection
vehicle-tracking
vehicle-detection
vehicle-counting
color-recognition
speed-prediction
vehicle-detection-and-tracking
tensorflow-object-detection-api
object-detection-label
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Feb 4, 2021 - Python
Real-time object detection on Android using the YOLO network with TensorFlow
android
demo
tensorflow
detection
apk
prediction
android-device
yolo
tensorflow-yolo
android-studio
object-detection
pascal-voc
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Oct 26, 2017 - C++
Introducing neural networks to predict stock prices
python
finance
data-science
machine-learning
tutorial
neural-network
trading
guide
prediction
stock-price-prediction
trading-strategies
quantitative-finance
stock-prices
algorithmic-trading
regression-models
yahoo-finance
lstm-neural-networks
keras-tensorflow
mlp-networks
prediction-mod
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Aug 3, 2019 - Python
Open
Http方式部署thread参数不起作用
2
CH7auAI
commented
Apr 28, 2021
使用以下命令部署模型是,输入的thread参数不起作用,cpu使用率不超过400%:
python -m paddle_serving_server.serve --model my_model --thread 10 --port 9292 --name my_model
原因是文件:
https://github.com/PaddlePaddle/Serving/blob/develop/python/paddle_serving_server/serve.py
中第433行中processes=4,并没有更新为用户的输入参数;
Open
这里的or前后顺序写反了
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Fast webpages for all browsers.
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Oct 1, 2020 - JavaScript
FBP项目全称FootBallPrediction,历经9个月完成的足球比赛预测项目。项目结合大数据+机器学习,不断摸索开发了一个程序。程序根据各大公司赔率多维度预测足球比赛结果(包含胜和不胜)。机器学习用的是自己建立的“三木板模型”算法,已在国家期刊发表论文并被万方数据库收录,详见_ML_文件。目前准确率可达80%。该项目在自己创建的微信群里已经吸引了很多人,附件为群讨论截图,并且每天均有部分人根据预测结果参考投注竞彩,参考的人都获得了相应的收益。 现在想通过认识更多的有识之士,一起探索如何将项目做大做强,找到合伙人,实现共赢。希望感兴趣的同仁联系本人,微信号acredjb。公众号AI金胆(或AI-FBP),每天都有程序预测的足球比赛。程序优势请看Advantages和README文件。程序3.0版本:(第三轮目前13中12) 8月10日:13让负(正确) 8月11日:27让负(正确) 8月12日:11让负(正确) 8月13日:6胜(不正确) 8月14日:25让负(正确) 8月15日:无预测 8月16日:1胜(正确) 8月17日:6让负(正确) 8月18日:16胜(正确) 8月19日:34让负(正确) ... 1.0版本(第一轮为11中9) 2.0版本(第二轮13中11).
algorithm
machine-learning-algorithms
football-simulation
prediction
football
advantage
fbp
prediction-model
lottery-tickets
footballpredictor
lottery-program
football-lottery
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Jun 2, 2021
This repository helps you understand python from the scratch.
python
data
machine-learning
numpy
pandas-dataframe
jupyter-notebook
prediction
python3
python-3
datascraping
numpy-arrays
dataanalysis
google-colab
google-colab-notebook
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May 15, 2021 - Jupyter Notebook
Tool that predicts the outcome of a Dota 2 game using Machine Learning
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Jun 1, 2021 - Python
Curated Tensorflow code resources to help you get started with Deep Learning.
machine-learning
ai
deep-learning
tensorflow
regression
prediction
classification
artificial-neural-networks
convolutional-networks
tensorflow-examples
tensorflow-resources
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Sep 25, 2017 - Python
Deep Learning and Machine Learning stocks represent a promising long-term or short-term opportunity for investors and traders.
data-science
machine-learning
deep-learning
trading
algorithms
prediction
data-visualization
feature-selection
feature-extraction
stock-market
stock-price-prediction
data-analysis
stock-data
feature-engineering
stock-prices
stock-prediction
stock-analysis
financial-engineering
stock-trading
features-extraction
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Jun 13, 2021 - Jupyter Notebook
Mathematica implementations of machine learning algorithms used for prediction and personalization.
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Apr 22, 2021 - Mathematica
Regression, Scrapers, and Visualization
visualization
sentiment-analysis
svm
linear-regression
prediction
stocks
stock-prices
hacktoberfest
stock-analysis
nvda
hacktoberfest2020
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May 25, 2021 - Jupyter Notebook
This is the code base for Trajectory and Driver Behavior Prediction in Autonomous Vehicles using Spectral Graph Theory
graph
traffic
prediction
vehicle
behavior-driven-development
trajectory-optimization
social-lstm
trajectory-prediction
driver-behavior
trajectory-planning
apolloscape
social-gan
traphic
argoverse
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May 9, 2021 - Python
Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
finance
machine-learning
ai
bitcoin
trading
machine-learning-algorithms
trading-bot
prediction
artificial-intelligence
artificial-neural-networks
trading-strategies
trading-algorithms
quantitative-finance
quantitative-trading
quantitative-investment
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Oct 29, 2019 - Python
An Android app for viewing and predicting the latest World Rugby rankings 🏉
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May 20, 2021 - Kotlin
Temporal Causal Discovery Framework (PyTorch): discovering causal relationships between time series
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Oct 3, 2019 - Jupyter Notebook
Personal notes about scientific and research works on "Decision-Making for Autonomous Driving"
reinforcement-learning
bibliography
end-to-end
decision-making
prediction
planning
intention
mdp
mcts
game-theory
behavioral-cloning
interaction
risk-assessment
imitation-learning
inverse-reinforcement-learning
pomdp
decision-making-under-uncertainty
carla
model-based-reinforcement-learning
belief-planning
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Dec 15, 2020
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!
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May 6, 2021 - HTML
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similar to scikit model.get_params