guangyangai
Stanford PhD graduate in energy resources engineering, working now in a healthcare tech start up in Boston, doing self driving and finance related side projects
Boston,MA
guangyangai's Stars
facebook/react
The library for web and native user interfaces.
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
streamlit/streamlit
Streamlit — A faster way to build and share data apps.
CamDavidsonPilon/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
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 ;)
wenyan-lang/wenyan
文言文編程語言 A programming language for the ancient Chinese.
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
lexfridman/mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
shenweichen/DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
xingyizhou/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
WillKoehrsen/Data-Analysis
Data Science Using Python
utterworks/fast-bert
Super easy library for BERT based NLP models
dmlc/decord
An efficient video loader for deep learning with smart shuffling that's super easy to digest
sudharsan13296/Awesome-Meta-Learning
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
awslabs/sockeye
Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch
streamlit/demo-self-driving
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
sudharsan13296/Hands-On-Meta-Learning-With-Python
Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow
JWarmenhoven/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
ternaus/TernausNetV2
TernausNetV2: Fully Convolutional Network for Instance Segmentation
equinor/segyio
Fast Python library for SEGY files.
aws-neuron/aws-neuron-sdk
Powering AWS purpose-built machine learning chips. Blazing fast and cost effective, natively integrated into PyTorch and TensorFlow and integrated with your favorite AWS services
antoine77340/LOUPE
Tensorflow toolbox implementing several learnable pooling architecture
aws-solutions/document-understanding-solution
Example of integrating & using Amazon Textract, Amazon Comprehend, Amazon Comprehend Medical, Amazon Kendra to automate the processing of documents for use cases such as enterprise search and discovery, control and compliance, and general business process workflow.
aws-samples/amazon-sagemaker-architecting-for-ml
Materials for a 2-day instructor led course on applying machine learning
awslabs/sagemaker-debugger
Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors
aws-samples/reinvent2019-aim362-sagemaker-debugger-model-monitor
Build, train & debug, and deploy & monitor with Amazon SageMaker
SilvioGiancola/SoccerNet-code
SoccerNet: A Scalable Dataset for Action Spotting in Soccer Videos
andreaferretti/ganzo
A GAN framework
marcoancona/DASP
Keras implementation for DASP: Deep Approximate Shapley Propagation (ICML 2019)