dumpmemory Goto Github PK

landrop

A simple HTTP server for sharing files on your local network.

langchain

⚡ Building applications with LLMs through composability ⚡

langchain-serve

Langchain Apps on Production using Jina

language-refer

language_modeling_via_stochastic_processes

Language modeling via stochastic processes. Oral @ ICLR 2022.

lanjing_live

🐋蓝鲸直播源-长期维护的电视直播源接口、TVBox、Pluto Player、猫影视TV、IPTV、BIUBIU TV、IPTV源、直播源、源享家、蓝鲸直播源、等影视及m3u8播放器通用接口都可观看

large

Official Implementation of LARGE: Latent-Based Regression through GAN Semantics

large_language_model_training_playbook

An open collection of implementation tips, tricks and resources for training large language models

larger-context

laser

Language-Agnostic SEntence Representations

lassl

Easy framework for pre-training language models.

latent-execution

latex-ocr

pix2tex: Using a ViT to convert images of equations into LaTeX code.

latex_paper_writing_tips

Tips for Writing a Research Paper using LaTeX

latexify_py

Generates LaTeX math description from Python functions.

lavis

LAVIS - A One-stop Library for Language-Vision Intelligence

lazynlp

Library to scrape and clean web pages to create massive datasets.

lead-ios-demo

a featherweight iOS SS proxy client

leaf

A versatile and efficient proxy framework with nice features suitable for various use cases.

learn-binary-hacking

Binary Hacking Study Notes

learning-kcp-protocol

KCP协议基本数据结构和算法介绍

learning-scaffold

This is the official implementation for the paper "Learning to Scaffold: Optimizing Model Explanations for Teaching"

learningtoselect

[AAAI 2023] Learning to Select from Multiple Options

leaves

pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks

leavexchat-bot

Keep WeChat messages but leave WeChat. This Telegram bot is here to release you.

leavexchat-bot-docker

lebert

Code for the ACL2021 paper "Lexicon Enhanced Chinese Sequence Labelling Using BERT Adapter"

lebert-ner-chinese

lede

Lean's OpenWrt source

leedeeprl-notes

李宏毅《深度强化学习》笔记，在线阅读地址：https://datawhalechina.github.io/leedeeprl-notes/