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TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Learn how to design, develop, deploy and iterate on production-grade ML applications.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
💿 Free software that works great, and also happens to be open-source Python.
A collection of various deep learning architectures, models, and tips
📡 Simple and ready-to-use tutorials for TensorFlow
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.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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
搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。
推荐系统入门教程，在线阅读地址：https://datawhalechina.github.io/fun-rec/
Python code for common Machine Learning Algorithms
Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2 | 一本简明的 TensorFlow 2 入门指导教程
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可
YoloV3 Implemented in Tensorflow 2.0
Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX
Dual LSTM Encoder for Dialog Response Generation
Code for the Lovász-Softmax loss (CVPR 2018)
Tensorflow实战学习笔记、代码、机器学习进阶系列
This is a repository of a topic-centric public data sources in high quality for Recommender Systems (RS)
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
Multi-label Classification with BERT; Fine Grained Sentiment Analysis from AI challenger
