facebbook Goto Github PK

alpaca-lora

Instruct-tune LLaMA on consumer hardware

autodidact

A pedagogical implementation of Autograd

autograd

Efficiently computes derivatives of numpy code.

awesome-instruction-dataset

A collection of open-source dataset to train instruction-following LLMs (ChatGPT,LLaMA,Alpaca)

awesome-shell

A curated list of awesome command-line frameworks, toolkits, guides and gizmos. Inspired by awesome-php.

bitcoin

Bitcoin Core integration/staging tree

bitsandbytes

8-bit CUDA functions for PyTorch

cloc

cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.

distbelief

Implementing Google's DistBelief paper

drqa

Reading Wikipedia to Answer Open-Domain Questions

drqa_cn

elf

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

facebbook.github.io

Web Site

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

introduction-nlp

HanLP作者的新书《自然语言处理入门》详细笔记！业界良心之作，书中不是枯燥无味的公式罗列，而是用白话阐述的通俗易懂的算法模型。从基本概念出发，逐步介绍中文分词、词性标注、命名实体识别、信息抽取、文本聚类、文本分类、句法分析这几个热门问题的算法原理与工程实现。

jina

An easier way to build neural search on the cloud

learn-vim_zh_cn

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

llama

Inference code for LLaMA models

llama.cpp

Port of Facebook's LLaMA model in C/C++

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

mlapp_cn_code

《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。

nlp-tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

nlp_chinese_corpus

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

prml

PRML algorithms implemented in Python

prml-1

Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop

question_answering

CDSW/CML version of FF14

recommendation_system_practice

记录学习推荐系统的demo

recommenders

Best Practices on Recommendation Systems

recommendsystempractice

《推荐系统实践》代码实现