snowolf Goto Github PK

lab_ts_forecast

llm-workshop-quick-start

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

multi-model-server

Multi Model Server is a tool for serving neural net models for inference

pytorch-mnist-ddp-on-sagemaker

reco-papers

Classic papers and resources on recommendation

recsys

项亮的《推荐系统实践》的代码实现

reinvent-2019

Distributed training, tuning, and inference with TensorFlow in Amazon SageMaker

sagemaker-benchmarking-accelerators-pretrained-pytorch-resnet50

sagemaker-bert-tensorflow-sample

sagemaker-blazingtext-article-title-classification

This is a demo for Amazon SageMaker build-in algo BlazingText on Chinese article title classification. BlazingText could apply to word2vec and text classification.

sagemaker-custom-serving-containers

Custom serving containers for Amazon SageMaker

sagemaker-custom-training-containers

Implementations of Amazon SageMaker-compatible custom containers for training.

sagemaker-cv-preprocessing-training-performance

SageMaker training implementation for computer vision to offload JPEG decoding and augmentations on GPUs using NVIDIA DALI — allowing you to compare and reduce training time by addressing CPU bottlenecks caused by increasing data pre-processing load. Performance bottlenecks identified with SageMaker Debugger.

sagemaker-horovod-distributed-training

Distributed training with SageMaker's script mode using Horovod distributed deep learning framework

sagemaker-horovod-distributed-training-tfkeras-pipemode

sagemaker-in-box

Simple samples for reference.

sagemaker-inf1-endpoints

SageMaker-Inf1-Endpoints

sagemaker-model-deployment-samples

In this repo, we will show three ways of model deployment in Amazon SageMaker.

sagemaker-stablediffusion-quick-kit

sagemaker-yolov3-detection-server

Example of object detection serving with SageMaker

small-talk-rasa-stack

Collection of casual conversations that can be used with the Rasa Stack

srs

SRS is a simple live streaming cluster, a simple joy.

taxi-demand-prediction-new-york-city

A Machine Learning Case Study to predict the Demand of Yellow Taxi in New York City at given location and at a given time interval.

tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

towe

Code and data for "Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling" (NAACL2019)

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

workshop

AI and Machine Learning with Kubeflow, Amazon EKS, and SageMaker

yolov3-tf2

YoloV3 Implemented in Tensorflow 2.0 and Train and Deploy on SageMaker.

youtube-dl

A copyright-respecting fork of youtube-dl