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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Models and examples built with TensorFlow
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Deep learning library featuring a higher-level API for TensorFlow.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
A library for transfer learning by reusing parts of TensorFlow models.
A memory-efficient implementation of DenseNets
Caffe Implementation of Google's MobileNets (v1 and v2)
Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)
Simple Tensorflow implementation of "Squeeze and Excitation Networks" using Cifar10 (ResNeXt, Inception-v4, Inception-resnet-v2)
A pure python implementation of multicast DNS service discovery
A guide to transfer learning with inception-resnet-v2.
Load tensorboard event logs as pandas DataFrames for scientific plotting; Supports both PyTorch and TensorFlow
Tensorflow-DenseNet with ImageNet Pretrained Models
A tensorflow implement for PeleeNet:A Real-Time Object Detection System on Mobile Devices
A memory efficient implementation of densenet.
SE_ResNet && SE_ResNeXt with pretrained weights on ImageNet (SENet In TensorFlow)