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Name: Davis Liang
Type: User
Company: Facebook
Bio: Scientist at Meta AI.
Location: Menlo Park, CA
Name: Davis Liang
Type: User
Company: Facebook
Bio: Scientist at Meta AI.
Location: Menlo Park, CA
This is some unfinished code that can create rectilinear and curved filter banks of varying sizes, orientations, and angles. The idea was to develop a network that used these handcrafted features to selectively extract information and classify images based on the extracted curvature and rectilinear features. This network is superseded by my PSD classifier, which is detailed in another repository.
Reduction is a python script which automatically summarizes a text by extracting the sentences which are deemed to be most important.
The RWTH extensible training framework for universal recurrent neural networks
My first RNN implementation. It features arbitrary numbers of hidden units and arbitrary number of time steps. Arbitrary input and targets can be processed with a few minor changes (delete two lines, check consistency). The RNN learns with the Backpropagation Through Time algorithm. Python version coming soon.
[For Fun - Complete] CNN that regresses on semantic representations instead of one-hot softmax. Zero Shot Learner.
Example Ethereum Solidity Contracts
Open source software library for numerical computation using data flow graphs.
TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters
A standard implementation for "The Model" (TM, Dailey and Cottrell (1999)), containing a sample dataset for preprocessing (Gabor Filtering and PCA), and a two-layer neural network for training on face recognition.
My implementation of Garrison Cottrell's The Model, a neural network model of the Fusiform Face Area. The code includes modular code with preprocessing, PCA, filtering, SGD capabilities. This version is for facial affect and identity recognition (specifically for composite faces). ReadMe will be available soon...
Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.
Unsupervised text tokenizer focused on computational efficiency
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.