Deep Learning: libraries and applications

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Deep Learning Book Chinese Translation

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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

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The most cited deep learning papers

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incubator-mxnet
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Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

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handson-ml
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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

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CNTK
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Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit

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deeplearning-models
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A collection of various deep learning architectures, models, and tips

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This repo attempts to serve as a guideline for building production-level deep learning systems to be deployed in real world applications.

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netron
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Visualizer for neural network, deep learning and machine learning models

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handson-ml2
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A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

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DeepFaceLab
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DeepFaceLab is a tool that utilizes machine learning to replace faces in videos. Includes prebuilt ready to work standalone Windows 7,8,10 binary (look readme.md).

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λ°λ°λ₯λΆν° μμνλ λ₯λ¬λ2 λ³΅μ΅ μ€ν°λ

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Machine Learning and Deep Learning lessons.

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Ensemble Adversarial Black-Box Attacks against Deep Learning Systems Trained by MNIST, USPS and GTSRB Datasets

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This library provides a set of basic functions for different types of deep learning (and other) algorithms in C.This deep learning library will be constatly updated

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Learn Deep Learning in 8 weeks. Some background knowledge in High School level calculus and Python Programming would be helpful. A compilation of resources. Bear in mind that learning Deep learning takes a lot of time, years in fact. The "8 weeks" is just to give you an idea of progression of topics and resources. So, keep learning and enjoy.

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Curriculum to Learn Natural Language Processing in 5 weeks. Prerequisites in Python, Deep Learning, Linear Algebra, Probability and Calculus is Needed. A compilation of resources. Bear in mind that learning NLP takes a lot of time, years in fact. The "5 weeks" is just to give you an idea of progression of topics and resources.

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MyCaffe
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A complete deep learning platform written almost entirely in C# for Windows developers! Now you can write your own layers in C#!

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This repo attempts to serve as a guideline for building production-level deep learning systems to be deployed in real world applications.

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links to conference publications in graph-based deep learning

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A Course on Mathematical Theories of Deep Learning

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AI-Chip
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was pushed
50 minutes ago

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A list of ICs and IPs for AI, Machine Learning and Deep Learning.

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chainer
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was pushed
2 hours ago
| Current tag:
v7.0.0rc1

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A flexible framework of neural networks for deep learning

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Deep-learning-in-PHM
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was pushed
2 hours ago

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Deep learning in PHMοΌDeep learning in fault diagnosisοΌDeep learning in remaining useful life prediction

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pytorch_geometric
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2 hours ago
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1.3.2

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Geometric Deep Learning Extension Library for PyTorch

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2 hours ago

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Paper reading notes on Deep Learning and Machine Learning

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ml-projects
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ML based projects such as Spam Classification, Time Series Analysis, Text Classification using Random Forest, Deep Learning, Bayesian, Xgboost in Python

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deepimpute
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was pushed
3 hours ago
| Current tag:
v1.0

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An accurate and efficient deep learning method for single-cell RNA-seq data imputation

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was pushed
4 hours ago

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Deep-Reinforcement-Learning-Hands-On-Second-Edition, published by Packt

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RNAsamba
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0.2.2
released
5 hours ago

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A tool for computing the coding potential of RNA transcript sequences using deep learning classification model

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netron
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v3.5.6
released
6 hours ago

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Visualizer for neural network, deep learning and machine learning models

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0.0.1
released
8 hours ago

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Python code to extract features from Protein sequences for Machine Learning/Deep Learning

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zookeeper
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v1.0.dev3
released
20 hours ago

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A small library for managing deep learning models, hyperparameters and datasets

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gordo-components
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0.41.0
released
20 hours ago

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An API-first distributed deployment system of deep learning models using timeseries data to analyze and predict systems behaviour

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ngraph
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v0.25.1-rc.10
released
2 days ago

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nGraph - open source C++ library, compiler and runtime for Deep Learning

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pwnagotchi
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v1.3.0
released
2 days ago

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(ββ _β ) - Deep Reinforcement Learning instrumenting bettercap for WiFi pwning.

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delta
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v0.3.1
released
3 days ago

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DELTA is a deep learning based natural language and speech processing platform.

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10673 Deep Learning libraries

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