Pinned Repositories
active-jdbc-example
This example demonstrates how to wire up ActiveJDBC with Spring Boot in replacement of Hibernate.
adventures-in-ml-code
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
awesome-RecSys-papers
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
BabyRobot
A Baby Robot's Guide to Reinforcement Learning
BAP
Bayesian Analysis with Python (Second Edition)
basic-yolo-keras
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
wentongli's Repositories
wentongli/amazon-sagemaker-examples
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
wentongli/annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
wentongli/awesome-RecSys-papers
The awesome and classic papers in recommendation system!!! Good luck to every RecSys-learner!
wentongli/BabyRobot
A Baby Robot's Guide to Reinforcement Learning
wentongli/BAP
Bayesian Analysis with Python (Second Edition)
wentongli/beginners-pytorch-deep-learning
Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning
wentongli/DataScience_ArtificialIntelligence_Utils
Examples of Data Science projects and Artificial Intelligence use cases
wentongli/dlwpt-code
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
wentongli/face-alignment
:fire: 2D and 3D Face alignment library build using pytorch
wentongli/ffmpeg-video-slideshow-scripts
Shell scripts to create video slideshows using images and videos
wentongli/first-order-model
This repository contains the source code for the paper First Order Motion Model for Image Animation
wentongli/GDL_code
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
wentongli/hair-segmentation
hair segmentation in mobile device
wentongli/kafka-streams-course
Learn Kafka Streams with several examples!
wentongli/Kafka-Streams-Real-time-Stream-Processing
This is the central repository for all materials related to Kafka Streams : Real-time Stream Processing! Book by Prashant Pandey.
wentongli/lambda-container-image
wentongli/Learn-Amazon-SageMaker
Learn Amazon SageMaker
wentongli/monk_v1
Monk is a low code Deep Learning tool and a unified wrapper for Computer Vision.
wentongli/nyoka
Nyoka is a Python library to export ML/DL models into PMML (PMML 4.4 Standard).
wentongli/opencv_contrib
Repository for OpenCV's extra modules
wentongli/pandas-in-action
Complete source code (datasets and Jupyter Notebooks) for Pandas In Action
wentongli/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 ;)
wentongli/pymatting
A Python library for alpha matting
wentongli/PyTorchNLPBook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
wentongli/reservation-service
Sample microservice implementation based on reservation data model from Cassandra: The Definitive Guide, 2nd/3rd Ed
wentongli/sagemaker-python-sdk
A library for training and deploying machine learning models on Amazon SageMaker
wentongli/sagemaker_learning
wentongli/server
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
wentongli/spring-tutorials
Just Announced - "Learn Spring Security OAuth":
wentongli/system-design
Learn how to design systems at scale and prepare for system design interviews