hzhz2020 Goto Github PK
Name: hzhzhzhzhz
Type: User
Name: hzhzhzhzhz
Type: User
Code and hyperparameters for the paper "Generative Adversarial Networks"
Source code for Naesseth et. al. "Reparameterization Gradients through Acceptance-Rejection Sampling Algorithms" (2017)
A curated list of Meta-Learning resources/papers.
This holds iPython notebooks and lecture slides for the Intro to Data Science Master's course I teach at NYU.
deep learning for image processing including classification and object-detection etc.
Example projects I completed to understand Deep Learning techniques with Tensorflow.
深度学习与PyTorch入门实战视频教程 配套源代码和PPT
深度学习开源书,基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Implementation of Deep IV: A Flexible Approach for Counterfactual Prediction
A tutorial demonstrating how to implement deep learning models for time series forecasting
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
Generalized Random Forests
Onboarding info for hugheslab (HPC cluster, etc.)
hz_website
Code for paper InterLUDE
Lectures for Udemy - INLP
Pytorch Implementation for CVPR2018 Paper: Learning to Compare: Relation Network for Few-Shot Learning
A collection of machine learning examples and tutorials.
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.