ARIES-LM

google-research

Google Research

nndl.github.io

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

GNNPapers

Must-read papers on graph neural networks (GNN)

stanza

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

pyprobml

Python code for "Probabilistic Machine learning" book by Kevin Murphy

PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

awesome-multimodal-ml

Reading list for research topics in multimodal machine learning

lit

The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.

LiteratureDL4Graph

A comprehensive collection of recent papers on graph deep learning

learn2learn

A PyTorch Library for Meta-learning Research

vector-quantize-pytorch

Vector (and Scalar) Quantization, in Pytorch

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

TextBox

TextBox 2.0 is a text generation library with pre-trained language models

NVAE

The Official PyTorch Implementation of "NVAE: A Deep Hierarchical Variational Autoencoder" (NeurIPS 2020 spotlight paper)

disentangling-vae

Experiments for understanding disentanglement in VAE latent representations

Deep-Generative-Models-for-Natural-Language-Processing

DGMs for NLP. A roadmap.

PyTorch-Beam-Search-Decoding

PyTorch implementation of beam search decoding for seq2seq models

Deep-Reasoning-Papers

Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning

BMPrinciples

A collection of phenomenons observed during the scaling of big foundation models, which may be developed into consensus, principles, or laws in the future

text_gcn.pytorch

PyTorch implementation of "Graph Convolutional Networks for Text Classification. Yao et al. AAAI2019."

vae-lagging-encoder

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

CommonGen

A Constrained Text Generation Challenge Towards Generative Commonsense Reasoning

T-Fixup

Code for the ICML'20 paper "Improving Transformer Optimization Through Better Initialization"

TIM

code for Teaching LM to Translate with Comparison

stupidNMT

Hard-Coded Gaussian Attention for Neural Machine Translation

objects-compositional-generalization

Official code for the paper "Provable Compositional Generalization for Object-Centric Learning" (ICLR 2024, oral)

compositionality_paradox_mt

Codebase for analysing compositional generalisation in NMT models, which allows you to run systematicity, productivity, substitutivity and idiom processing analyses.

Dangle

Disentangled Sequence to Sequence Learning for Compositional Generalization

thseq

PyTorch-based seq2seq learning toolkit that mainly focuses on Neural Machine Translation.

ai-masterbrain-scientist