libs.garden
Most popular libraries and apps
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Deep Learning
keras — Deep Learning for humans
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In the modern world, a lot of textual data is generated on a daily basis. All of this data can be used to train a deep learning model to respond to queries posed. While many such concepts have already been implemented to respond to the current query, the way the networks are trained is not similar to how humans converse in the real world. In this project, we have developed a new network architecture that will ensure that the network answers the current query not only by considering the current query but also by considering certain important aspects of the previous parts of the conversations.
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chiragbhuvaneshwara/MultiTurnNeuralChatbot
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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
v2.0.7
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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
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Deep Learning for humans
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keras-team/keras
2.2.4
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Deep Learning to classify fonts
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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)
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Chicago-R-User-Group/2018-n2
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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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microsoft/samples-for-ai
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Cloud instance management for deep learning applications.
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(<1)
for-ai/cloud
0.0.7
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a deep learning approach to training word2vec models for recurrent neural networks
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Xand6r/Embeddings-for-Word2Vec
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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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Introduction of Natural Language Processing course in NTUST 2018. It uses Deep Learning to analyse the NLP problems.
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0lidaxiang/NLP-for-DP
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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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Collaborative Deep Learning for Recommender Systems.
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akash13singh/mxnet-for-cdl
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deep learning models for document classification
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shaoyn0817/DeepLearning-for-DocClassify
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A Deep Learning IDE
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for-aiur/subgraphs
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Deep Learning Illustrated (2019)
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(<1)
the-deep-learners/deep-learning-illustrated
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Deep Learning Deep Dive: Code Examples For Blog Posts
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luspr/deep-learning-deep-dive
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Various small projects related to supervised learning, unsupervised learning, machine learning, and deep learning.
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AMWen/learning
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Deep learning study
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piggybox/deep
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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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Following Jason Brownlee's "Deep Learning with Python"
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Nagasaki45/deep
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Some deep learning hacks
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tonyrog/deep
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I'm learning with this book, [Deep learning for scratch]
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Dotsung/Learning-Deep-Learning
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quick and dirty deep learning intro
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mungobungo/deep
🍂
deep learning
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(<1)
vsmolyakov/deep