zmxdream

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

caffe

Caffe on both Linux and Windows

coroutine

A asymmetric coroutine library for C.

DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training easy, efficient, and effective.

FeatGraph

HugeCTR

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

NCE-CNN-Torch

Noise-Contrastive Estimation for Question Answering with Convolutional Neural Networks (Rao et al. CIKM 2016)

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

tensorflow

An Open Source Machine Learning Framework for Everyone

x-deeplearning

An industrial deep learning framework for high-dimension sparse data

zmxdream/FeatGraph

zmxdream/HugeCTR

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

zmxdream/Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

zmxdream/tensorflow

An Open Source Machine Learning Framework for Everyone

zmxdream/abseil-cpp

Abseil Common Libraries (C++)

zmxdream/asyncplusplus

Async++ concurrency framework for C++11

zmxdream/ByteTransformer

optimized BERT transformer inference on NVIDIA GPU. https://arxiv.org/abs/2210.03052

zmxdream/Clustered-Embedding-Learning

Code for the paper "Clustered Embedding Learning for Recommender Systems"

zmxdream/cub

Cooperative primitives for CUDA C++.

zmxdream/cuCollections

zmxdream/CUDA-Programming-Guide-in-Chinese

This is a Chinese translation of the CUDA programming guide

zmxdream/docs

Documentations for PaddlePaddle

zmxdream/fairscale

PyTorch extensions for high performance and large scale training.

zmxdream/FBGEMM

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

zmxdream/gcc

zmxdream/jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

zmxdream/LargeBatchCTR

Large batch training of CTR models based on DeepCTR with CowClip.

zmxdream/MEGABYTE-pytorch

Implementation of MEGABYTE, Predicting Million-byte Sequences with Multiscale Transformers, in Pytorch

zmxdream/Megatron-LM

Ongoing research training transformer models at scale

zmxdream/mini-lsm

A tutorial of building an LSM-Tree storage engine in a week!

zmxdream/nccl

Optimized primitives for collective multi-GPU communication

zmxdream/nccl-tests

NCCL Tests

zmxdream/nvidia_tensorflow

An Open Source Machine Learning Framework for Everyone

zmxdream/OptEmbed

This repository contains PyTorch Implementation of CIKM 2022 research-track paper: OptEmbed: Learning Optimal Embedding Table for Click-through Rate Prediction.

zmxdream/PaddleRec

Recommendation Algorithm大规模推荐算法库，包含推荐系统经典及最新算法LR、Wide&Deep、DSSM、TDM、MIND、Word2Vec、Bert4Rec、DeepWalk、SSR、AITM，DSIN，SIGN，IPREC、GRU4Rec、Youtube_dnn、NCF、GNN、FM、FFM、DeepFM、DCN、DIN、DIEN、DLRM、MMOE、PLE、ESMM、ESCMM, MAML、xDeepFM、DeepFEFM、NFM、AFM、RALM、DMR、GateNet、NAML、DIFM、Deep Crossing、PNN、BST、AutoInt、FGCNN、FLEN、Fibinet、ListWise、DeepRec、ENSFM，TiSAS，AutoFIS等，

zmxdream/PaddleTest

PaddlePaddle TestSuite

zmxdream/recommenders-addons

Additional utils and helpers to extend TensorFlow when build recommendation systems, contributed and maintained by SIG Recommenders.

zmxdream/triton

Development repository for the Triton language and compiler

zmxdream/xla

A machine learning compiler for GPUs, CPUs, and ML accelerators

zmxdream/zmxdream