jdc08161063 Goto Github PK

multitask-agreement

Multi-task learning models for linguistics

multiverse

Dataset, code and model for the CVPR'20 paper "The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction"

multiwayregression

Perform tensor-on-tensor regression

multiworld

Multitask Environments for RL

munit

Multimodal Unsupervised Image-to-Image Translation

mupen64plus-input-bot

An input driver for mupen64plus that consumes from a python web server

music-audio-tagging-at-scale-models

Tensorflow implementation of the models used in "End-to-end learning for music audio tagging at scale"

music-source-separation

Separating singing voice from music based on deep neural net in Tensorflow

music_generation

This is the code for "Song Generator" By Siraj Raval on Youtube

music_recommendation_tf

Music Recommendation task using 1M songs dataset using tensorflow

music_recommender

Music recommender using deep learning with Keras and TensorFlow

mwcnnv2

Multi-level Wavelet Convolutional Neural Networks

myia

Myia prototyping

n2nmn

Learning to Reason: End-to-End Module Networks for Visual Question Answering

n3net

Neural Nearest Neighbors Networks (NIPS*2018)

name-entity-recognition

Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow

nattack

natural-adv-examples

A Harder ImageNet Test Set

natural-adversary

Generating Natural Adversarial Examples, ICLR 2018

natural-language-processing

Resources for "Natural Language Processing" Coursera course.

nba-player-movements

🏀 Visualization of NBA games from raw SportVU data logs

ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

ned-graphs

neighconsensus

NCNet Re-implementation on Pytorch 1.0 (Original implementation : https://github.com/ignacio-rocco/ncnet)

neptune-examples

ner

Named Entity Recognition

ner_pytorch

Named Entity Recognition on CoNLL dataset using BiLSTM+CRF implemented with Pytorch

netdissect

Network Dissection http://netdissect.csail.mit.edu for quantifying interpretability of deep CNNs.

netgan

Implementation of the paper "NetGAN: Generating Graphs via Random Walks".

nets-and-trees

This demo shows how to learn a neural network on top of decision trees