xxxx001 Goto Github PK

it_book

本项目收藏这些年来看过或者听过的一些不错的常用的上千本书籍，没准你想找的书就在这里呢，包含了互联网行业大多数书籍和面试经验题目等等。有人工智能系列（常用深度学习框架TensorFlow、pytorch、keras。NLP、机器学习，深度学习等等），大数据系列(Spark,Hadoop,Scala,kafka等)，程序员必修系列（C、C++、java、数据结构、linux，设计模式、数据库等等）

juicefs

JuiceFS is a distributed POSIX file system built on top of Redis and S3.

kitex

Go RPC framework with high-performance and strong-extensibility for building micro-services.

kitex-examples

Examples for Kitex.

lamm

[NeurIPS 2023 Datasets and Benchmarks Track] LAMM: Multi-Modal Large Language Models and Applications as AI Agents

lenet-5

C++实现LeNet-5

lenet5

A lenet 5 written in C without any library needed.

lindb

LinDB is a scalable, high performance, high availability distributed time series database.

linuxmooc

陈莉君教授《Linux内核分析与应用》课程课件、动手实践源代码、实验手册、实验源代码

llama

Inference code for LLaMA models

llama-recipes

Examples and recipes for Llama 2 model

llama2-chinese

Llama中文社区，最好的中文Llama大模型，完全开源可商用

llama2.c

Inference Llama 2 in one file of pure C

llasm

第一个支持中英文双语语音-文本多模态对话的开源可商用对话模型。便捷的语音输入将大幅改善以文本为输入的大模型的使用体验，同时避免了基于 ASR 解决方案的繁琐流程以及可能引入的错误。

llm-adapters

Code for our EMNLP 2023 Paper: "LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models"

lora

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

ltsf-linear

This is the official implementation for AAAI-23 Oral paper "Are Transformers Effective for Time Series Forecasting?"

lucid

A collection of infrastructure and tools for research in neural network interpretability.

mengzi

Mengzi Pretrained Models

microservices

Microservices from Design to Deployment 中文版 《微服务：从设计到部署》

minbpe

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

mindspore

MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.

minio

High Performance Object Storage for AI

models

Models and examples built with TensorFlow

multivariate-time-series-data

mxnet

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

nacos

an easy-to-use dynamic service discovery, configuration and service management platform for building cloud native applications.

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nnproxy

Scalable NameNode RPC Proxy for HDFS Federation