Topic: mxnet Goto Github
Some thing interesting about mxnet
Some thing interesting about mxnet
mxnet,In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
User: ahkarami
mxnet,Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
Organization: apache
Home Page: https://mxnet.apache.org
mxnet,Machine Learning University: Accelerated Computer Vision Class
Organization: aws-samples
mxnet,Machine Learning University: Accelerated Natural Language Processing Class
Organization: aws-samples
mxnet,Machine Learning University: Accelerated Tabular Data Class
Organization: aws-samples
mxnet,AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.
Organization: aws
mxnet,A library for training and deploying machine learning models on Amazon SageMaker
Organization: aws
Home Page: https://sagemaker.readthedocs.io/
mxnet,Probabilistic time series modeling in Python
Organization: awslabs
Home Page: https://ts.gluon.ai
mxnet,Python library & examples for Masked Language Model Scoring (ACL 2020)
Organization: awslabs
Home Page: https://www.aclweb.org/anthology/2020.acl-main.240/
mxnet,Multi Model Server is a tool for serving neural net models for inference
Organization: awslabs
mxnet,A collection of computer vision pre-trained models.
User: balavenkatesh3322
mxnet,Code for the paper STN-OCR: A single Neural Network for Text Detection and Text Recognition
User: bartzi
Home Page: https://arxiv.org/abs/1707.08831
mxnet,A high performance and generic framework for distributed DNN training
Organization: bytedance
mxnet,Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Organization: d2l-ai
Home Page: https://D2L.ai
mxnet,Một cuốn sách về Học Sâu đề cập đến nhiều framework phổ biến, được sử dụng trên 300 trường Đại học từ 55 đất nước bao gồm MIT, Stanford, Harvard, và Cambridge.
Organization: d2l-ai
mxnet,State-of-the-art 2D and 3D Face Analysis Project
Organization: deepinsight
Home Page: https://insightface.ai
mxnet,An Engine-Agnostic Deep Learning Framework in Java
Organization: deepjavalibrary
Home Page: https://djl.ai
mxnet,Gluon CV Toolkit
Organization: dmlc
Home Page: http://gluon-cv.mxnet.io
mxnet,NLP made easy
Organization: dmlc
Home Page: https://nlp.gluon.ai/
mxnet,Standalone TensorBoard for visualizing in deep learning
Organization: dmlc
mxnet,This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.
Organization: dsgiitr
mxnet,🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
Organization: explosion
Home Page: https://thinc.ai
mxnet,Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Organization: horovod
Home Page: http://horovod.ai
mxnet,(New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Organization: hpi-xnor
mxnet,TensorFlow Basic Tutorial Labs
User: hunkim
Home Page: https://www.youtube.com/user/hunkims
mxnet,🔡 Token level embeddings from BERT model on mxnet and gluonnlp
User: imgarylai
Home Page: http://bert-embedding.readthedocs.io/
mxnet,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Organization: intellabs
Home Page: https://intellabs.github.io/coach/
mxnet,CapsNet (Capsules Net) in Geoffrey E Hinton paper "Dynamic Routing Between Capsules" - State Of the Art
User: loretoparisi
mxnet,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Organization: microsoft
mxnet,深度学习入门教程, 优秀文章, Deep Learning Tutorial
User: mikoto10032
mxnet,The collaboration workspace for Machine Learning
Organization: mlreef
Home Page: https://mlreef.com
mxnet,A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
Organization: mosecorg
Home Page: https://mosec.readthedocs.io/
mxnet,nGraph has moved to OpenVINO
Organization: nervanasystems
Home Page: https://www.ngraph.ai/
mxnet,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Organization: nvidia
Home Page: https://docs.nvidia.com/deeplearning/dali/user-guide/docs/index.html
mxnet,State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
Organization: nvidia
mxnet,:computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list
User: offchan42
mxnet,Open standard for machine learning interoperability
Organization: onnx
Home Page: https://onnx.ai/
mxnet,Sandbox for training deep learning networks
User: osmr
mxnet,This script converts the ONNX/OpenVINO IR model to Tensorflow's saved_model, tflite, h5, tfjs, tftrt(TensorRT), CoreML, EdgeTPU, ONNX and pb. PyTorch (NCHW) -> ONNX (NCHW) -> OpenVINO (NCHW) -> openvino2tensorflow -> Tensorflow/Keras (NHWC/NCHW) -> TFLite (NHWC/NCHW). And the conversion from .pb to saved_model and from saved_model to .pb and from .pb to .tflite and saved_model to .tflite and saved_model to onnx. Support for building environments with Docker. It is possible to directly access the host PC GUI and the camera to verify the operation. NVIDIA GPU (dGPU) support. Intel iHD GPU (iGPU) support.
User: pinto0309
mxnet,MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Organization: polyaxon
Home Page: https://polyaxon.com
mxnet,AI on Hadoop
Organization: qihoo360
mxnet,[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829
Organization: samsunglabs
mxnet,ncnn is a high-performance neural network inference framework optimized for the mobile platform
Organization: tencent
mxnet,TensorLy: Tensor Learning in Python.
Organization: tensorly
Home Page: http://tensorly.org
mxnet,A Simple and Versatile Framework for Object Detection and Instance Recognition
Organization: tusen-ai
mxnet,Understanding Convolution for Semantic Segmentation
Organization: tusimple
Home Page: https://arxiv.org/abs/1702.08502
mxnet,Setup and customize deep learning environment in seconds.
User: ufoym
Home Page: http://ufoym.com/deepo
mxnet,The Unified AI Framework
Organization: unifyai
Home Page: https://unify.ai
mxnet,《深度学习与计算机视觉》配套代码
User: yeyun111
Home Page: https://frombeijingwithlove.github.io/dlcv_for_beginners/
mxnet,The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
User: ysh329
Home Page: https://github.com/ysh329/deep-learning-model-convertor
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