2022segmentationst

SIGMORPHON 2022 Shared Task on Morpheme Segmentation

academic

Jekyll theme with a focus on simplicity, typography and flexibility

adapter-transformers

Huggingface Transformers + Adapters = ❤️

adversarial_video_generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

agency-jekyll-theme

Agency Theme for Jekyll

amber-data-prep

Data preparation code for Amber 7B LLM

apc-vision-toolbox

MIT-Princeton Vision Toolbox for the Amazon Picking Challenge 2016 - RGB-D ConvNet-based object segmentation and 6D object pose estimation.

appengine-flask-skeleton

A skeleton for creating Python applications using the Flask framework on App Engine

arc-robot-vision

MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Grasp Detection and Image Matching for Novel Objects with Deep Learning

ardrone_autonomy

ROS driver for Parrot AR-Drone 1.0 and 2.0 quadrocopters

arduino-library-braccio

Arduino Braccio Library

barlowtwins

PyTorch implementation of Barlow Twins.

benchmark

bidmach

CPU and GPU-accelerated Machine Learning Library

big-bench

Pytorch port of BIGbench (work in progress)

biggan-pytorch

Pytorch implementation of LARGE SCALE GAN TRAINING FOR HIGH FIDELITY NATURAL IMAGE SYNTHESIS (BigGAN)

biggan-pytorch-1

The author's officially unofficial PyTorch BigGAN implementation.

bmsg-gan

[MSG-GAN] Any body can GAN! Highly stable and robust architecture. Requires little to no hyperparameter tuning.

braccio-ik-unity

Braccio robotic arm simulator with IK (inverse kinematics) and controller via Serial in Unity.

braccio_arduino_ros

Controlling Braccio with arduino and raspberry pi using ROS and RVIZ

braccio_description

URDF file for Arduino Braccio toy robot arm

braccioplaymemory

creative-jekyll-theme

crows-pairs

This repository contains the data and code introduced in the paper "CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models" (EMNLP 2020).

data-science--cheat-sheet

Cheat Sheets

data-science-ipython-notebooks

Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines. https://bit.ly/data-notes

data2vec

deep-learning-project-template

Pytorch Lightning code guideline for conferences

deepbeliefsdk

The SDK for Jetpac's iOS Deep Belief image recognition framework

deeplearningexamples

Deep Learning Examples