bozheng-hit

NQ_BERT-DM

xTune

ELMo

VoCapXLM

Code for EMNLP2021 paper "Allocating Large Vocabulary Capacity for Cross-lingual Language Model Pre-training"

jnn

java neural network

MMNLU-22-HIT-SCIR

AutoAWQ

AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:

AutoGPTQ

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

CGED-project

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

focal_calibration

Code for the paper "Calibrating Deep Neural Networks using Focal Loss"

mlx-examples

Examples in the MLX framework

sentencepiece

Unsupervised text tokenizer for Neural Network-based text generation.

spider

scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

unilm

UniLM AI - Large-scale Self-supervised Pre-training across Tasks, Languages, and Modalities

xtreme

XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.