GitHub - go-echarts/go-echarts: 🎨 The adorable charts library for Golang
🎨 The adorable charts library for Golang. If a language can be used to build web scrapers, it definitely needs to provide a graceful data visualization library. --- by dongdong. In the Golang ecosystem, there are not many choices for data visualization libraries. The development of go-echarts aims to provide a simple yet powerful data visualization library for Golang. Apache ECharts is an awesome
docs/effective_tf2.md at master · tensorflow/docs · GitHub
Effective TensorFlow 2.0 There are multiple changes in TensorFlow 2.0 to make TensorFlow users more productive. TensorFlow 2.0 removes redundant APIs, makes APIs more consistent (Unified RNNs, Unified Optimizers), and better integrates with the Python runtime with Eager execution. Many RFCs have explained the changes that have gone into making TensorFlow 2.0. This guide presents a vision for what
tf.contrib.factorization.KMeansClustering training on CPU and not GPU · Issue #20942 · tensorflow/tensorflow
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Object Detection: Protobuf files fail to compile with v.2.6.1 protobuf-compiler · Issue #4047 · tensorflow/models
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tensorflow/tensorflow/contrib/quantize at master · tensorflow/tensorflow · GitHub
Quantization-aware training Quantization-aware model training ensures that the forward pass matches precision for both training and inference. There are two aspects to this: Operator fusion at inference time are accurately modeled at training time. Quantization effects at inference are modeled at training time. For efficient inference, TensorFlow combines batch normalization with the preceding con
tensorflow/overview.md at master · tensorflow/tensorflow · GitHub
Note: XLA is still under development. Some use cases will not see improvements in speed or decreased memory usage. XLA (Accelerated Linear Algebra) is a domain-specific compiler for linear algebra that optimizes TensorFlow computations. The results are improvements in speed, memory usage, and portability on server and mobile platforms. Initially, most users will not see large benefits from XLA, bu
tensorflow/tensorflow/lite/experimental/micro at master · tensorflow/tensorflow · GitHub
If your device is not yet supported, it may not be too hard to add support. You can learn about that process here. We're looking forward to getting your help expanding this table! Getting Started with Portable Reference Code If you don't have a particular microcontroller platform in mind yet, or just want to try out the code before beginning porting, the easiest way to begin is by downloading the
Video summary support · Issue #39 · tensorflow/tensorboard
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GitHub - tensorflow/embedding-projector-standalone
tfjs-models/body-pix at master · tensorflow/tfjs-models
GitHub - tensorflow/tfjs-models: Pretrained models for TensorFlow.js
Release v1.0.0-alpha1: Update tfjs to 1.0.0-alpha1 and the dependent packages. (#1199) · tensorflow/tfjs
Issues · tensorflow/datasets
GitHub - tensorflow/datasets: TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
models/msssim.py at master · tensorflow/models · GitHub
docs/site/en/r2 at master · tensorflow/docs · GitHub
tensorflow/Dockerfile.gpu at master · tensorflow/tensorflow · GitHub
https://github.com/tensorflow/tfjs-models/tree/master/speech-commands
Gluon API
GitHub - tensorflow/adanet: Fast and flexible AutoML with learning guarantees.
