Pierian-Data / Complete-Python-3-Bootcamp
Course Files for Complete Python 3 Bootcamp Course on Udemy
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Course Files for Complete Python 3 Bootcamp Course on Udemy
数据科学的笔记以及资料搜集
A Threat hunter's playbook to aid the development of techniques and hypothesis for hunting campaigns.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Debugging, monitoring and visualization for Python Machine Learning and Data Science
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。
Companion webpage to the book "Mathematics For Machine Learning"
Repository of sentinel alerts and hunting queries leveraging sysmon and the MITRE ATT&CK framework
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Performance analysis of predictive (alpha) stock factors
The fastai deep learning library, plus lessons and tutorials
YOLOv3 in PyTorch > ONNX > CoreML > iOS
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Visualizations for machine learning datasets
Python Data Science Handbook: full text in Jupyter Notebooks
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Solutions for projects.
Algorithms that run our universe | Your personal library of every algorithm and data structure code that you will ever encounter | Ask us anything at our forum
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
Tacotron 2 - PyTorch implementation with faster-than-realtime inference
Portfolio and risk analytics in Python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
TensorFlow examples
此项目是机器学习(Machine 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。