libs.garden
Most popular libraries and apps
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Deep Learning
ngraph — NGraph is an open source C++ library, compile...
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nGraph is an open source C++ library, compiler and runtime for Deep Learning frameworks
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NervanaSystems/ngraph
v0.20.0-dev.0
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nGraph is an open source C++ library, compiler and runtime for Deep Learning frameworks
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csullivan/ngraph
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nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph
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NervanaSystems/he-transformer
v0.4.0-rc2
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Open deep learning compiler stack for cpu, gpu and specialized accelerators
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dmlc/tvm
v0.5
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CK workflow for MILEPOST GCC (machine learning based compiler) to let the community reproduce and build upon our past R&D projects. See related project funded by Raspberry Pi foundation to crowd-tune programs across RPi devices provided by volunteers and apply machine learning (decision trees, deep learning, etc) to acclerate optimization:
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ctuning/reproduce-milepost-project
20181220
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Demonstration of compiler autotuning, crowd-tuning and machine learning on RPi3 via customizable Collective Knowledge workflow framework with a portable package manager. This technology supports Pareto-efficient software/hardware co-design tournaments of deep learning in terms of speed, accuracy, energy, costs:
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ctuning/ck-rpi-optimization-results
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A relevant optimized introduction to techniques and approaches involved in OpenCV and its current use applicable to image augmentation for Deep Learning. A learning of OpenCV step by step with all major augmentation techniques covered and study of Computer Graphics using OpenCV with geometric transformations are also covered. It is derived from various tutorial sources including pyimagesearch and OpenCV docs itself. A handy resource for OpenCV enthusiasts and for people searching for Image Augmentation using ComputerVision
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vgaurav3011/Open-Computer-Vision-Techniques
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deep learning builds for amd64 (x86_64) with NVIDIA hardware
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open-horizon/cogwerx-nvidia-amd64
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An open courseware project in Deep Learning using Keras + Tensorflow. // Projeto aberto, em português, dedicado ao ensino em Deep Learning
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AhirtonLopes/Open-Deep-Learning
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An open courseware project in Deep Learning using Keras + Tensorflow. // Projeto aberto, em português, dedicado ao ensino em Deep Learning
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AhirtonL/Open-Deep-Learning
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Deep Learning Course
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dubai-open-data-science/deep-learning-course
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Utilities for Intel optimized Deep learning frameworks
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vdevaram/deep_learning_utilities_cpu
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Machine/Deep Learning open source
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TommyHuang821/Deep-Learning-API-example
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Deep learning builds for NVIDIA Jetson TX1
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open-horizon/cogwerx-jetson-tx1
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Deep learning builds for NVIDIA Jetson TX2
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open-horizon/cogwerx-jetson-tx2
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Deep learning based open domain chatbot based on the Neural Conversational Model paper made by Google.
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AbdelrahmanRadwan/Open-Domain-ChatBot
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open-exchange is a model conversion and visualization tool to help users inter-operate among different deep learning frameworks. Convert models between Keras, MXNet, PyTorch
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iCGY96/open-exchange
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Source code and presentations for the Calgary Deep Learning
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cxbxmxcx/CalgaryDeepLearning
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Source Code for 'Applied Deep Learning' by Umberto Michelucci
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Apress/applied-deep-learning
v1.0
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GIPHY's Open-Source Celebrity Detection Deep Learning Model
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Giphy/celeb-detection-oss
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Deep Learning in C#
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cbovar/ConvNetSharp
v0.4.11
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A C++ deep learning library for the construction and optimization of neural networks ranging from simple feedforward architectures to state-of-the-art convolutional ResNets and LSTMs.
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ViktorC/C-ATTL3
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The code related to my nips puplication: Deep Learning with Topological Signatures
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c-hofer/nips2017
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I had accomplished Andrew Ng’s Deep Learning Specialization course series in Coursera. I hope this review would be insightful for those whom might want to enter this field or simply consolidate your deep learning knowledge. This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. DeepLearning.ai contains five courses which can be taken on Coursera.
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imsaksham-c/Deep-Learning-Specilization-COURSERA-
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Demos of Deep Learning Frameworks
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freeman93/Demos-of-Deep-Learning-Frameworks
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implement deep learning frameworks using Tensorflow
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raypine/dl_tf_framework
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a Haskell implementation of Deep Learning frameworks.
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neutronest/vortex
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Deep learning frameworks from coders perspective
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holli/deep_learning_code_comparison
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Evaluation of Deep Learning Frameworks
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zer0n/deepframeworks
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Deep Learning methods behind well known frameworks
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JulianNorton/grokking-deep-learning
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