🦜🔗 Build context-aware reasoning applications

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

📡 Simple and ready-to-use tutorials for TensorFlow

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

Natural Language Processing Tutorial for Deep Learning Researchers

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Code for Machine Learning for Algorithmic Trading, 2nd edition.

An open-source, low-code machine learning library in Python

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Code for Tensorflow Machine Learning Cookbook

COCO API - Dataset @ http:https://cocodataset.org/

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Dynamic seq2seq in TensorFlow, step by step

Translations of TensorFlow documentation

This repository includes tutorials on how to use the TensorFlow estimator APIs to perform various ML tasks, in a systematic and standardised way

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

CLU lets you write beautiful training loops in JAX.

Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing

This is a tensorflow re-implementation of Faster R-CNN: Towards Real-Time ObjectDetection with Region Proposal Networks.

Educational material on using the TensorFlow Estimator framework for text classification

Examples about How to import data from tfrecord files using dataset API.

tf.keras + tf.data with Eager Execution

How to convert trained Keras model to a single TensorFlow .pb file and make prediction

A Transformer implementation in Keras' Imperative (Subclassing) API for TensorFlow.

Single Shot MultiBox Detector in TensorFlow，个人注释版

An implementation for attention model in Keras for sequence to sequence model.