Pinned Repositories
3D-Machine-Learning
A resource repository for 3D machine learning
500lines
500 Lines or Less
a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
ActuarialDataScience
Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
Advanced-Deep-Trading
Mostly experiments based on "Advances in financial machine learning" book
ai-edu
AI education materials for Chinese students, teachers and IT professionals.
jhfan88-liboz
Automatically exported from code.google.com/p/jhfan88-liboz
lib3ds
Automatically exported from code.google.com/p/lib3ds
polyakf
Automatically exported from code.google.com/p/polyakf
SubCNN_TF
A tensorflow implementation of SubCNN (working progress)
emailhy's Repositories
emailhy/ActuarialDataScience
Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.
emailhy/ai-edu
AI education materials for Chinese students, teachers and IT professionals.
emailhy/AI4Animation
Bringing Characters to Life with Computer Brains in Unity
emailhy/ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
emailhy/binderhub
Run your code in the cloud, with technology so advanced, it feels like magic!
emailhy/centerNet-deep-sort
realtime multiple people tracking (centerNet based person detector + deep sort algorithm with pytorch)
emailhy/deep_sort_yolov3
Real-time Multi-person tracker using YOLO v3 and deep_sort with tensorflow
emailhy/docker-flask-celery-redis
Docker-Compose template for orchestrating a Flask app with a Celery queue using Redis
emailhy/KDD-2019-Hands-on
DGL tutorial in KDD 2019
emailhy/kdd2019
KDD conf
emailhy/KDD2019-HandsOn-Tutorial
KDD 2019 hands-on tutorial
emailhy/Machine-Learning-Session
emailhy/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
emailhy/mdBook
Create book from markdown files. Like Gitbook but implemented in Rust
emailhy/mlflow
Open source platform for the machine learning lifecycle
emailhy/mlr3
mlr3: Machine Learning in R - next generation
emailhy/notes
my dev notes
emailhy/OpenML
Open Machine Learning
emailhy/python-sutime
Python wrapper for Stanford CoreNLP's SUTime
emailhy/Python_TidyData
How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.
emailhy/pytorch-transformers
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
emailhy/Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
emailhy/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
emailhy/stockpredictionai
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.
emailhy/talks
emailhy/The-Economist
The Economist 经济学人,持续更新
emailhy/TSstudio
Tools for time series analysis and forecasting
emailhy/ultimate-go
Ultimate Go study guide, with heavily documented code and programs analysis all in 1 place
emailhy/workshops
A few exercises for use at events.
emailhy/YEDDA
YEDDA: A Lightweight Collaborative Text Span Annotation Tool. Code for ACL 2018 Best Demo Paper Nomination.