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Learning High-Quality and General-Purpose Phrase Representations. Findings of EACL 2024
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
Train transformer language models with reinforcement learning.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Making large AI models cheaper, faster and more accessible
LogiTorch is a PyTorch-based library for logical reasoning on natural language
A Keras implementation of the AAAI21 paper "a lightweight neural model for biomedical entity linking"
The autoregressive information extraction system GenIE (Generative Information Extraction) implemented in PyTorch.
Render Python unittest results in nice HTML files
Package for evaluating word embeddings
Tensorflow Implementation of cnn text classification
Benchmarks for intrinsic word embeddings evaluation.
[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821
list of efficient attention modules
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Google Drive Public File Downloader when Curl/Wget Fails
[EMNLP 2020] Text Classification Using Label Names Only: A Language Model Self-Training Approach
Transformer with Untied Positional Encoding (TUPE). Code of paper "Rethinking Positional Encoding in Language Pre-training". Improve existing models like BERT.
Heterogeneous Network Embedding: Survey, Benchmark, Evaluation, and Beyond
Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
A pytorch implementation of the ACL2019 paper "Simple and Effective Text Matching with Richer Alignment Features".