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Name: Malcolm Greaves
Type: User
Company: @NVIDIA
Bio: Machine Learning Systems Research Engineer: a software engineer with ML knowledge using Functional Programming to make efficient ML systems.
Location: NYC
Name: Malcolm Greaves
Type: User
Company: @NVIDIA
Bio: Machine Learning Systems Research Engineer: a software engineer with ML knowledge using Functional Programming to make efficient ML systems.
Location: NYC
Personal learnings in Rust land, following https://bheisler.github.io/post/writing-raytracer-in-rust-part-1/
PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"
Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"
Repository containing evidence of police brutality during the 2020 George Floyd protests
Natural Language Processors
Deprecated, replacement here: https://github.com/malcolmgreaves/rex
Graph-algorithm inferences over local groundings of first-order logic programs
Various examples to showcase the functionality of PSL.
Puck is a lightning-fast parser for natural languages using GPUs
A Python 3 image for NLP & ML. Includes spaCy & NLTK model data.
Cookie cutter template for various Python projects.
Deep universal probabilistic programming with Python and PyTorch
Python implementation of label propagation
Louvain Community Detection
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
Robust serialization support for NamedTuple & @dataclass data types.
Quick implementation of xmeans in python and C
Implementation of QA Networks
Resources from the Question Generation Shared Task & Evaluation Challenge 2010
qscp or quick-scp is a helper bash script for quick-scp. It's designed to remove the need to type the path of the copied resource twice.
A toy raytracer in Rust
Question answering dataset featured in "Teaching Machines to Read and Comprehend
Reading Comprehension Experiments repository.
Reactive Streams API for Apache Kafka
Reactive scala S3 client
A meta language toolchain to build systems rapidly
this is the code used in the paper "Discrete-State Variational Autoencoders for Joint Discovery and Factorization of Relations"
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.