rhengzi Goto Github PK
Name: Yinghao
Type: User
Bio: A master from Tshinghua University insterest: * graph theory * artificial intelligence
Yinghao's Projects
algorithms-sedgewick-python
Algorithms(4th edition) by Robert Sedgewick and Kevin Wayne exercises in python
atom_notebook
Atom notebook
awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
awesome-chinese-nlp
A curated list of resources for Chinese NLP 中文自然语言处理相关资料
awesome-deep-learning-and-machine-learning-questions
【不定期更新中】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题
awesome-graph-classification
A collection of important graph embedding, classification and representation learning papers with implementations.
bayesian-modelling-in-python
A python tutorial on bayesian modeling techniques (PyMC3)
coding-interview-university
A complete computer science study plan to become a software engineer.
configuration
vim/zsh的配置
coursera-ml-andrewng-notes
吴恩达老师的机器学习课程个人笔记
crow
Crow is very fast and easy to use C++ micro web framework (inspired by Python Flask)
darknet
Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)
deepdive
DeepDive
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
facets
Visualizations for machine learning datasets
flasky
Companion code to my O'Reilly book "Flask Web Development", second edition.
forecasting
Forecasting lectures and tutorials using Python
gated-graph-neural-network-samples
Sample Code for Gated Graph Neural Networks
gpytorch
A highly efficient and modular implementation of Gaussian Processes in PyTorch
hello-world
Just another repository
interpret
Fit interpretable models. Explain blackbox machine learning.
izomorf
Backtrack algorithm for graph isomorphism
jax
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
kaggle-101
include my python solutions to the "101 beginning problem set" on kaggle.
knowledge_graph_demo
This is a demo for a simple knowledge graph.
lime
Lime: Explaining the predictions of any machine learning classifier
machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接
machine_learning_refined
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
markdown-tutorial
A comprehensive guide to Markdown / Introduction to Markdown
mpitutorial
MPI programming lessons in C and executable code examples
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