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2019-ncov

全国新型冠状病毒，肺炎疫情实时省市地图

algos

Various algorithms by self constructed.

alignment-handbook

Robust recipes for to align language models with human and AI preferences

alpaca-lora

Instruct-tune LLaMA on consumer hardware

awesome-mlops

A curated list of references for MLOps

awesome-network-embedding

A curated list of network embedding techniques.

bert

TensorFlow code and pre-trained models for BERT

bigcode-analysis

Repository for analysis and experiments in the BigCode project.

btm

Code for Biterm Topic Model (published in WWW 2013)

building-with-instruction-tuned-llms-a-step-by-step-guide

Resources relating to the DLAI event: https://www.youtube.com/watch?v=eTieetk2dSw

chinese-llama-alpaca

中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

cvangysel-common

A repository with cross-project, reusable code.

deepctr

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

deeplearning

Deep Learning introduction and its application in various fields

demo

django-analyze

A general purpose framework for training and testing classification algorithms.

dual-learning-algorithm-for-unbiased-learning-to-rank

This is an implementation of the Dual Learning Algorithm with multi-layer feed-forward neural network for online unbiased learning to rank.

dualist

Interactive machine learning for text analysis

dxy-covid-19-crawler

2019新型冠状病毒疫情实时爬虫及API | COVID-19/2019-nCoV Realtime Infection Crawler and API

ebola

Data for the 2014 ebola outbeak in West Africa

enhanced-paragraph-vector-model-for-ad-hoc-retrieval

A TensorFlow version of the Enhanced Paragraph Vector (EPV) model for Ad-hoc Retrieval

ezshop

fairml

fastgcn

The sample codes for our ICLR18 paper "FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling""

fasttext

Library for fast text representation and classification.

fasttext_multilingual

Multilingual word vectors in 78 languages

gat2vec

representation learning on attributed graphs

gcn

Implementation of Graph Convolutional Networks in TensorFlow

graph_nets

PyTorch Implementation and Explanation of Graph Representation Learning papers involving DeepWalk, GCN, GraphSAGE, ChebNet & GAT.

graphsage

Representation learning on large graphs using stochastic graph convolutions.