TensorFlow binaries supporting AVX, FMA, SSE
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Updated
Feb 4, 2020 - Shell
TensorFlow is an open source library that was created by Google. It is used to design, build, and train deep learning models.
TensorFlow binaries supporting AVX, FMA, SSE
Build and install TensorFlow C++ API library.
Prebuilt binary with Tensorflow Lite enabled. For RaspberryPi / Jetson Nano. Support for custom operations in MediaPipe. XNNPACK, XNNPACK Multi-Threads, FlexDelegate.
Integrate TensorFlow with CMake projects effortlessly
📖 每一个伟大的思想和行动都有一个微不足道的开始
Prebuilt binary for TensorFlowLite's standalone installer. For RaspberryPi. A very lightweight installer. I provide a FlexDelegate, MediaPipe Custom OP and XNNPACK enabled binary.
A set of scripts to (cross-)build the Tensorflow C lib for various architectures / OS
Install TensorFlow on the NVIDIA Jetson TX2 Development Kit
Docker images to compile TensorFlow yourself.
Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI!
Setup Ubuntu 18.04, 16.04 and 14.04 with machine learning and robotics software plus user configuration. Includes ceres tensorflow ros caffe vrep eigen cudnn and cuda plus many more.
Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision
Shell scripts for setting up Manjaro Linux for Python programming and deep learning
Build the open source build tool Bazel for ARM on the Raspberry Pi
Lets you import Tensorflow + Keras from an AWS lambda
Deploy a distributed AI stack to a multi-host or single-host Kubernetes cluster on CentOS 7 and also works on AWS - and comes with: cert-manager + redis-cluster + rook-ceph for persistent storage + minio s3 object store + splunk + optional external dns server + affinity examples - validated with K8 version 1.13.4 🔨 🔧 ☁️
A Deep Learning Docker Image (PyTorch and TensorFlow) for arm64 architecture
Scripts to install TensorFlow on the NVIDIA Jetson TX1 Development Kit
Created by Google Brain Team
Released November 9, 2015