libs.garden
Most popular libraries and apps
Categories
Deep Learning
keras — Deep Learning for humans
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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).
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dduemig/Stanford-Project-Predicting-stock-prices-with-LSTM-Networks
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Markerless pose estimation of user-defined features with deep learning for all animals including humans
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AlexEMG/DeepLabCut
v2.0.6.2
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SKIL Java client: Deep learning model lifecycle management for humans
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SkymindIO/skil-java
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SKIL: Deep learning model lifecycle management for humans
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SkymindIO/skilr
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SKIL: Deep learning model lifecycle management for humans
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SkymindIO/skil-python
Similar
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Deep Learning for humans
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(+27)
keras-team/keras
2.2.4
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Deep Learning to classify fonts
9
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(<1)
deep-learning-for-humans/fontastic
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The occipital lobe is the back part of the brain that is involved with vision in humans,lets clone a OL for machines .Being a photographer,i'm super excited to tame computer vision.This repository contains opencv3 python scripts ,tensoflow & keras library codes for deep learning.
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shibinmak/occipital-lobe-of-machine-brain
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Deep Learning powered models of humans for virtual clinical trials.
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deepchem/deephuman
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R-for-Humans, Ensemble Modeling, and Deep learning (with Keras)
6
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Chicago-R-User-Group/2018-n2
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A Deep Learning IDE
1
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for-aiur/subgraphs
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Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.
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microsoft/samples-for-ai
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Samples for getting started with deep learning across TensorFlow, CNTK, Theano and more.
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(<1)
Microsoft/samples-for-ai
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a deep learning approach to training word2vec models for recurrent neural networks
1
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Xand6r/Embeddings-for-Word2Vec
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Cloud instance management for deep learning applications.
10
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(<1)
for-ai/cloud
0.0.7
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deep learning models for document classification
1
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shaoyn0817/DeepLearning-for-DocClassify
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Collaborative Deep Learning for Recommender Systems.
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akash13singh/mxnet-for-cdl
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This is a reading list for deep learning for OCR
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hs105/Deep-Learning-for-OCR
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Source code of the Keras for Deep Learning mini course
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wesinalves/keras-for-deeplearning
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MXNet code for 'Collaborative Deep Learning for Recommender Systems' - SIGKDD
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js05212/MXNet-for-CDL
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Paper reading notes on Deep Learning and Machine Learning
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patrick-llgc/Learning-Deep-Learning
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machine learning and deep learning notes
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loveunk/machine-learning-deep-learning-notes
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Paper reading notes on Deep Learning and Machine Learning
3
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(<1)
patrick-12sigma/Learning-Deep-Learning
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Deep learning study
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piggybox/deep
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Stock for Deep Learning and Machine Learning
2
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(<1)
LastAncientOne/Deep-Learning-Machine-Learning-Stock
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Walkthrough notebooks for Deep Learning, Machine Learning, Reinforcement Learning, Spark, Statistics, Algorithms, Scala, Python
23
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(<1)
amirziai/learning
Similar
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Deep Learning
1
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lselector/deep-learning
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Following Jason Brownlee's "Deep Learning with Python"
1
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Nagasaki45/deep
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deep learning
1
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vsmolyakov/deep
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Some deep learning hacks
4
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tonyrog/deep