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lectures

Oxford Deep NLP 2017 course

leonardo

material-seg

mdp_tracking

Learning to Track: Online Multi-Object Tracking by Decision Making

medical-data

meerkat

Interactive data frames to wrangle unstructured data with foundation models.

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch and CoreML.

multiple-quadrotor-slam

Multiple Quadrotor SLAM

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, Javascript and more

namas

Neural Attention Model for Abstractive Summarization

negtrboost

Negative Transfer Boosting

neural-dialogue-generation

neuronlp2

Deep neural models for core NLP tasks (Pytorch version)

nnpack

Acceleration package for neural networks on multi-core CPUs

openface

Face recognition with deep neural networks.

openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

parlai

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

pcl

Point Cloud Library (PCL)

pgr

A Silver Standard Corpus of Human Phenotype-Gene Relations

pseudo-3d-residual-networks

Pseudo-3D Convolutional Residual Networks for Video Representation Learning

python-goose

Html Content / Article Extractor, web scrapping lib in Python

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

rpg_svo

Semi-direct Visual Odometry

rstarcnn

R*CNN

scrapy-redis

Redis-based components for Scrapy.

semantic-kernel

Integrate cutting-edge LLM technology quickly and easily into your apps

semantic-segmentation-pytorch

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

squeezenet

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters

tcn

Sequence modeling benchmarks and temporal convolutional networks