qihongl Goto Github PK
Name: Qihong Lu
Type: User
Company: Princeton University
Bio: neural network models of hippocampal-cortical interaction
Twitter: Qihong_Lu
Location: Princeton, NJ, USA
Name: Qihong Lu
Type: User
Company: Princeton University
Bio: neural network models of hippocampal-cortical interaction
Twitter: Qihong_Lu
Location: Princeton, NJ, USA
Image restoration with neural networks but without learning.
Keras code and weights files for popular deep learning models.
Repo for a paper about constructing priors on very deep models.
PyTorch implementations of deep reinforcement learning algorithms and environments
Rapid hyperparameter discovery for neural nets using genetic algorithms
The original code from the DeepMind article + my tweaks
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
A TensorFlow implementation of Baidu's DeepSpeech architecture
A pytorch implementation of the advantage actor-critic (A2C) algorithm (Mnih et al. 2016). Used as a demo for NEU330 Computational Modeling of Psychological Function, Spring 2019.
learning event boundaries with a RNN
a demo of the hopfield network
demo for sklearn.manifold.MDS, made for NEU480 at Princeton
a recurrent neural network of bistable perception
a toy demo of lu et al 2018
some common nonlinearities used in neural networks
Q learning with neural network based function approximators.
a minimal implementation of the random search algorithm for reinforcement learning.
TD, a model of second/higher order conditioning
Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog
A TensorFlow implementation of the Differentiable Neural Computer.
Implementation of the Differentiable Neural Computer in Tensorflow
A Python(PyTorch) implementation of memory augmented neural network based on Ritter et al. (2018). Been There, Done That: Meta-Learning with Episodic Recall. ICML.
⚡️Data & models versioning for ML projects, make them shareable and reproducible
Tensorflow tutorial of building different dynamic recurrent neural network
Iteratively approximate L0 solution by L1 optimizations.
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.