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精品推荐：2、人工智能篇

资源编号:75729 精品推荐热度：81

人工智能篇

[ 1. ](https://hellogithub.com/periodical/volume/35/#gpt-2)[gpt-2](https://github.com/openai/gpt-2)

OpenAI 发布的 15 亿参数量通用语言模型 GPT-2，迄今最大模型！展示了一种构建语言处理系统的潜在方式，即根据自然发生的演示学习执行任务。实例代码：

```
export PYTHONIOENCODING=UTF-8
python3 src/generate_unconditional_samples.py | tee samples
python3 src/generate_unconditional_samples.py --top_k 40 --temperature 0.7 | tee samples
python3 src/interactive_conditional_samples.py --top_k 40

```

[ 2. ](https://hellogithub.com/periodical/volume/35/#deep-learning-drizzle)[deep-learning-drizzle](https://github.com/kmario23/deep-learning-drizzle)

世界计算机名校的深度学习、强化学习、机器学习、计算机视觉、自然语言处理等方面的公开课

[ 3. ](https://hellogithub.com/periodical/volume/35/#stanfordnlp)[stanfordnlp](https://github.com/stanfordnlp/stanfordnlp)

适用于多种人类语言的 Stanford NLP 官方 Python 库。包含用于运行 CoNLL 2018 共享任务的最新完全神经管道以及访问 Java Stanford CoreNLP 服务器的软件包。实例代码：

```
import stanfordnlp
stanfordnlp.download('en')   # This downloads the English models for the neural pipeline
nlp = stanfordnlp.Pipeline() # This sets up a default neural pipeline in English
doc = nlp("Barack Obama was born in Hawaii.  He was elected president in 2008.")
doc.sentences[0].print_dependencies()

```

[ 4. ](https://hellogithub.com/periodical/volume/35/#Tensorflow-Cookbook)[Tensorflow-Cookbook](https://github.com/taki0112/Tensorflow-Cookbook)

易学易用的 Tensorflow 教程

[5、machine-learning-for-software-engineers](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/ZuzooVn/machine-learning-for-software-engineers)：自上而下的学习路线，软件工程师的机器学习，[中文版](https://github.com/ZuzooVn/machine-learning-for-software-engineers/blob/master/README-zh-CN.md)

[6、MLAlgorithms](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/rushter/MLAlgorithms)：常见的机器学习算法，Python 实现：

* [Deep learning (MLP, CNN, RNN, LSTM)](https://github.com/rushter/MLAlgorithms/tree/master/mla/neuralnet)
* [Linear regression, logistic regression](https://github.com/rushter/MLAlgorithms/blob/master/mla/linear_models.py)
* [Random Forests](https://github.com/rushter/MLAlgorithms/blob/master/mla/ensemble/random_forest.py)
* [Support vector machine (SVM) with kernels (Linear, Poly, RBF)](https://github.com/rushter/MLAlgorithms/tree/master/mla/svm)
* [K-Means](https://github.com/rushter/MLAlgorithms/blob/master/mla/kmeans.py)

[7、数据科学/人工智能比赛解决方案汇总](https://github.com/apachecn/awesome-data-comp-solution)

8、[ncnn](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/Tencent/ncnn)：腾讯开源的一个为手机端极致优化的高性能神经网络前向计算框架

9、[tutorials](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/MorvanZhou/tutorials)：机器学习入门教程，十分详细包含视频教程、文字教程

10、[TensorFlow-World](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/astorfi/TensorFlow-World)：简单易用的 TensorFlow 教程

11、[EffectiveTensorflow](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/vahidk/EffectiveTensorflow)：TensorFlow 最佳实践

12、[deeplearningbook-chinese](https://hellogithub.com/periodical/statistics/click/?target=https://github.com/exacity/deeplearningbook-chinese)：Deep Learning 中文版