Wj Huang's repositories
awesome-go
A curated list of awesome Go frameworks, libraries and software
awesome-notebooks-ready-to-run
A collection of awesome data science notebooks with links to run.
curriculum-notebooks
Home of curriculum related notebook content.
cursor
An editor made for programming with AI 🤖
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
getting-started
A repo for Callysto related useful notebooks and materials to help teachers and users get started with using the hub environment and notebooks.
Introduction-NLP
HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。
ipython-in-depth
IPython and Jupyter in-depth Tutorial, first presented at PyCon 2012
jupyterlab
JupyterLab computational environment.
learnincode-docsy-example
An example documentation site using the Docsy Hugo theme
ml-workspace
🛠 All-in-one web-based IDE specialized for machine learning and data science.
mp-githubtrending
微信小程序 GitHub Trending Hub
PINTO_model_zoo
A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 Quantization), Quantization-aware training. TensorFlow Lite. OpenVINO. CoreML. TensorFlow.js. TF-TRT. MediaPipe. ONNX. [.tflite,.h5,.pb,saved_model,tfjs,tftrt,mlmodel,.xml/.bin, .onnx]
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
readthedocs.org
The source code that powers readthedocs.org
repo2docker
Turn git repositories into Jupyter enabled Docker Images
self-driving-car
The Udacity open source self-driving car project
sourcegraph
Code search and navigation tool (self-hosted)
tensorflowbook
for tensorflow book writting
the-craft-of-selfteaching
One has no future if one couldn't teach themself.