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equivariance

A framework for implementing equivariant DL

fusion

Fusion is a self-supervised framework for data with multiple sources — specifically, this framework aims to support neuroimaging applications.

gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

gpt-code-clippy

Full description can be found here: https://discuss.huggingface.co/t/pretrain-gpt-neo-for-open-source-github-copilot-model/7678?u=ncoop57

hangman

A game for time pass in python

hospital

human-eval

Code for the paper "Evaluating Large Language Models Trained on Code"

intro-to-data-apis-js

Working with Data and APIs in JavaScript

introspection

jaxton

100 exercises to learn JAX

jobdescription2jobtitle

classify a job description (or noisy job title) into a ONET job title

keywordfinder

Automatic keyword extraction - no alchemy required!

leetcode_july_challenge.

This is problem statement for Leetcode July Challenge with explanations for each problems

logan-b

Bidirectional Latent Optimized Generative Adversarial Networks

mememoji

A facial expression classification system that recognizes 6 basic emotions: happy, sad, surprise, fear, anger and neutral.

ml-gaudi

moco-tf2

MOCO implementation using tensorflow v2

moco_8708

Implementation of https://github.com/tensorflow/models/issues/8708 Momentum Contrast for Unsupervised Visual Representation Learning

models

Models and examples built with TensorFlow

neuroner

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

nfl_kaggle

The National Football League (NFL) and Amazon Web Services (AWS)teamed up to develop the best sports injury surveillance and mitigation programvia the Kaggle competition. Through which the NFL wants to assign specificplayers to each helmet, which would help accurately identify each player’s “ex-posures” throughout a football play. We are trying to implement a computer vi-sion based ML algorithms capable of assigning detected helmet impacts to correctplayers via tracking information. Our paper will explain the approach to automati-cally track player helmets and their collisions. This will also allow them to reviewprevious plays and explore the trends in exposure over time.

niki.ai

nyu-dlsp21

NYU Deep Learning Spring 2021

oct_super_resolution

Digital Image Processing Project

perl2python

A tool to (try to) convert Perl scripts to Python

ppuda

Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

python-application-gui

A template for desktop applications with an HTML front end and Python back end.

pytorch-deep-learning

Deep Learning (with PyTorch)

pywebview

Build GUI for your Python program with JavaScript, HTML, and CSS

quantum-svm