A distributed task scheduling framework.（分布式任务调度平台XXL-JOB）

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

Tools and libraries to glue C/C++ APIs to high-level languages

Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy and benchmark.

Mono/.NET bindings for Qt

C# Server UNISTACK framework [MOVED]

A serverless architecture for orchestrating ETL jobs in arbitrarily-complex workflows using AWS Step Functions and AWS Lambda.

Pretrain and finetune ELECTRA with fastai and huggingface. (Results of the paper replicated !)

⛵️The official PyTorch implementation for "BERT-of-Theseus: Compressing BERT by Progressive Module Replacing" (EMNLP 2020).

Semantics-aware BERT for Language Understanding (AAAI 2020)

🛸 Run C++ code on web and create blazingly fast websites! A starter template to easily create WebAssembly packages using type-safe C++ bindings with automatic TypeScript declarations.

AWS tutorial code.

Extra-strength glue engines for R Markdown, Quarto, and Shiny

ALBERT model Pretraining and Fine Tuning using TF2.0

pytorch implementation for Patient Knowledge Distillation for BERT Model Compression

Implementation of XLNet that can load pretrained checkpoints

Datasets collection and preprocessings framework for NLP extreme multitask learning

This is the implementation of the paper AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning (https://arxiv.org/abs/2205.12410).

gobject-introspection for Crystal