mysqlsc Goto Github PK

embedkgqa

ACL 2020: Improving Multi-hop Question Answering over Knowledge Graphs using Knowledge Base Embeddings

en-fr-mlt-tensorflow

English-French Machine Language Translation in Tensorflow

ernie

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

esim-response-selection

ESIM for Multi-turn Response Selection Task

euler

A distributed graph deep learning framework.

evaluating-recommenders

Compute and plot NDCG for a recommender system

examples

TensorFlow examples

faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

faiss

A library for efficient similarity search and clustering of dense vectors.

fashion-mnist

A MNIST-like fashion product database. Benchmark :point_right:

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

fastchat

An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and FastChat-T5.

fastmoe

A fast MoE impl for PyTorch

fastsam

Fast Segment Anything

fasttext

Library for fast text representation and classification.

fbthrift

Facebook's branch of Apache Thrift, including a new C++ server.

federated

A framework for implementing federated learning

fedlearner

A multi-party collaborative machine learning framework

fengshenbang-lm

封神榜大模型是IDEA研究院认知计算与自然语言研究中心主导的大模型开源计划

fewclue

FewCLUE 小样本学习测评基准，中文版

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

flamegraph

Stack trace visualizer

flan

flash-attention

Fast and memory-efficient exact attention

flash-linux0.11-talk

你管这破玩意叫操作系统源码 — 像小说一样品读 Linux 0.11 核心代码

flask

The Python micro framework for building web applications.

flexgen

Running large language models on a single GPU for throughput-oriented scenarios.

flink-recommandsystem-demo

:helicopter::rocket:基于Flink实现的商品实时推荐系统。flink统计商品热度，放入redis缓存，分析日志信息，将画像标签和实时记录放入Hbase。在用户发起推荐请求后，根据用户画像重排序热度榜，并结合协同过滤和标签两个推荐模块为新生成的榜单的每一个产品添加关联产品，最后返回新的用户列表。

fmg

KDD17_FMG