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kb2e

Knowledge Graph Embeddings including TransE, TransH, TransR and PTransE

kbqa

基于知识库的问答：seq2seq模型实践

kbqa-ar-smcnn

Question answering over Freebase (single-relation)

kbqa_re_data

lang2logic

lang2program

Parse natural language into executable programs

language

Shared repository for open-sourced projects from the Google AI Language team.

latticelstm

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

lc-quad

A data set of natural language queries with corresponding SPARQL queries

learning_to_retrieve_reasoning_paths

The official implementation of ICLR 2020, "Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering".

library-management-system

lihang-code

《统计学习方法》的代码实现

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

lit-gpt

Hackable implementation of state-of-the-art open-source LLMs based on nanoGPT. Supports flash attention, 4-bit and 8-bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

llama-recipes

Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.

lomo

LOMO: LOw-Memory Optimization

lora_bnb_int8

利用LoRA bnb_int8微调chatYuan-large-v2的demo

lsh_mips

位置敏感哈希LSH应用用计算向量最大内积和

lstm-crf-pytorch-faster

A more than 1000X faster paralleled LSTM-CRF implementation modified from the slower version in the Pytorch official tutorial (URL:https://pytorch.org/tutorials/beginner/nlp/advanced_tutorial.html).

lstm-gru-pytorch

LSTM and GRU in PyTorch

machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(1000+页)和视频链接

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

machine_learning_poc

The repository for various machine learning POC

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

maml-pytorch

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

maml-pytorch-rl

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

masp

mass

MASS: Masked Sequence to Sequence Pre-training for Language Generation

matchzoo

Facilitating the design, comparison and sharing of deep text matching models.