Neural Machine Translation (NMT) has arisen as the most powerful with the power of Deep Learning. The same idea has been recently applied to source code. Code Generation (CG) is the task of generating source code from natural language input. This paper introduces a Python parallel corpus of ...
machine-learning natural-language-processing machine-translation dialogue named-entity-recognition nlp-tasks Updated Jul 28, 2024 Python tensorflow / tensor2tensor Star 15.9k Code Issues Pull requests Library of deep learning models and datasets designed to make deep learning more accessible and acce...
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convoluti
第一种方法对不熟悉 TensorFlow 或需要做一些外部的数据修改(比如他们自己的 minibatch queueing)的用户来说更简单,这种方法只需用简单的 Python 语法就可实现。第二种和第三种方法更标准但也不那么灵活,他们需要开启多个 Python 线程(queue runners)。更重要的是,如果操作不当会导致死锁或难以查明的错误。尽管如此,...
machine_vocab: a python dictionary mapping all characters used in machine readable dates to an integer-valued index. These indices are not necessarily consistent withhuman_vocab. inv_machine_vocab: the inverse dictionary ofmachine_vocab, mapping from indices back to characters. ...
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《scikit-learn:用于机器学习的Python模块》 介绍:scikit-learn是在SciPy基础上构建的用于机器学习的Python模块。 《对话机器学习大神Michael Jordan:解析领域中各类模型》 介绍:乔丹教授(Michael I. Jordan)教授是机器学习领域神经网络的大牛,他对深度学习、神经网络有着很浓厚的兴趣。因此,很多提问的问题中包含了机器...
This paper proposes an English-Chinese machine translation research method based on transfer learning. First, it expounds the theory of neural machine translation and transfer learning and related te...
Machine translation takes words or sentences from one language and automatically translates them into another language. Machine translation has been around for a long time, but deep learning achieves impressive results in two specific areas: automatic translation of text (and translation of speech to ...
For our next example, we run the following code: prompt="""\ Write a python function to to carry out bubble sort. """payload={"inputs":prompt,"parameters":{"max_new_tokens":256,"temperature":0.1,"top_p":0.9},}response=predictor.predict(payload)print_response(payload,res...