jmhessel Goto Github PK
Name: Jack Hessel
Type: User
Bio: Researcher @ Samaya AI: PhD in CS from Cornell
Twitter: jmhessel
Blog: jmhessel.com
Name: Jack Hessel
Type: User
Bio: Researcher @ Samaya AI: PhD in CS from Cornell
Twitter: jmhessel
Blog: jmhessel.com
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
A simple tool for small scale experiments using bayesian optimization
TensorFlow code and pre-trained models for BERT
Corpus to accompany: "Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest"
Pretrained models for the ranking task described in Cats and Captions vs. Creators and the Clock (WWW 2017)
CLIPScore EMNLP code
Concreteness
Content for CS322-SP19
Keras code and weights files for popular deep learning models.
Reliably download millions of images efficiently
Empirical Multimodally-Additive Projections
Evaluation tool for word embeddings
A modern (2017) compilable re-host of the Espresso heuristic logic minimizer.
Exploring the Limits of Masked Visual Representation Learning at Scale (https://arxiv.org/abs/2211.07636)
Python code for training fair logistic regression classifiers.
Library for fast text representation and classification.
Quick implementation of Monroe et al.'s algorithm for comparing languages
A PyTorch implementation of a Factorization Machine module in cython.
Small script to configure your hosts file so you don't get distracted during the day.
Minimal class to download shared files from Google Drive.
A highly efficient and modular implementation of Gaussian Processes in PyTorch
Experiments mining image collections using OpenCV
An intro image analysis workshop, originally constructed for DHRX 2018
repo for my public website
Deep Learning for humans
What would you do with 1000 H100s...
PyTorch code for EMNLP 2019 paper "LXMERT: Learning Cross-Modality Encoder Representations from Transformers".
MALLET is a Java-based package for statistical natural language processing, document classification, clustering, topic modeling, information extraction, and other machine learning applications to text.
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.