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merit

A PyTorch implementation of "Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning", IJCAI-21

meta-learning-lstm-pytorch

pytorch implementation of Optimization as a Model for Few-shot Learning

metast

minirank

Ranking and ordinal regression algorithms in Python

ml-surveys

📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.

ml-visuals

Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mmaml-classification

An official PyTorch implementation of “Multimodal Model-Agnostic Meta-Learning via Task-Aware Modulation” (NeurIPS 2019) by Risto Vuorio*, Shao-Hua Sun*, Hexiang Hu, and Joseph J. Lim

mmaml-rl

mmd-variational-autoencoder

mmd-variational-autoencoder-pytorch-infovae

Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch

models

Models and examples built with TensorFlow

mtrajrec

Map-Constrained Trajectory Recovery (KDD'21)

multi-task-learning-example

A multi-task learning example for the paper https://arxiv.org/abs/1705.07115

multiobj-rationale

Multi-Objective Molecule Generation using Interpretable Substructures (ICML 2020)

multiobjectiveoptimization

Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

multivariate-time-series-data

multivariate_shapley_interactions

Official code implementation for the paper "Interpreting Multivariate Shapley Interactions in DNNs" (AAAI 2021)

musegan

An AI for Music Generation

mvgrl

natural-language-processing-with-tensorflow

Natural Language Processing with TensorFlow, published by Packt

neural-combinatorial-rl-pytorch

PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940

neural_differential_equations

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

neuraldialog-laed

PyTorch implementation for Interpretable Dialog Generation ACL 2018, It is released by Tiancheng Zhao (Tony) from Dialog Research Center, LTI, CMU

nlp_ability

总结梳理自然语言处理工程师(NLP)需要积累的各方面知识，包括面试题，各种基础知识，工程能力等等，提升核心竞争力

nndl.github.io

《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

node-route-eta

Request the the route ETA from public services

node2vec

normalizing-flows

Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.

normalizing_flows

Pytorch implementations of density estimation algorithms: BNAF, Glow, MAF, RealNVP, planar flows

normalizingflownetwork

Bayesian and Maximum Likelihood Implementation of the Normalizing Flow Network (NFN)