wolfg1969
Follow
Starred repositories
41
stars
written in Jupyter Notebook
Clear filter
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Python Data Science Handbook: full text in Jupyter Notebooks
Learn how to design, develop, deploy and iterate on production-grade ML applications.
🔊 Text-Prompted Generative Audio Model
A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
100-Days-Of-ML-Code中文版
Learn OpenCV : C++ and Python Examples
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
stable diffusion webui colab
One has no future if one couldn't teach themself.
wtfpython的中文翻译/施工结束/ 能力有限，欢迎帮我改进翻译
TensorFlow Tutorials with YouTube Videos
tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials
Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node
Lab Materials for MIT 6.S191: Introduction to Deep Learning
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。
The Udacity open source self-driving car project
Portfolio and risk analytics in Python
Python-based tools for document analysis and OCR
Beaker Extensions for Jupyter Notebook
Deep Learning 101 with PaddlePaddle （『飞桨』深度学习框架入门教程）
Home for Elasticsearch examples available to everyone. It's a great way to get started.
