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albert

alongstory.github.io

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

aws-deep-learning-containers-utils

basicsr

Basic Super-Resolution Toolbox, including SRResNet, SRGAN, ESRGAN, etc.

deep-learning-containers

AWS Deep Learning Containers (DLCs) are a set of Docker images for training and serving models in TensorFlow, TensorFlow 2, PyTorch, and MXNet.

deep-learning-models

Natural language processing & computer vision models optimized for AWS

deeplearningexamples

Deep Learning Examples

dgo

De ghosting of recruiter by replacing them with a bot!

evolutionary-neural-network

gaitdetection

gotplayer

image-to-image-papers

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

kensho

The public folder of Kensho

logsand

mmdetection

OpenMMLab Detection Toolbox and Benchmark

models

Models and examples built with TensorFlow

movierecomsys

musiclibrary

nlp-learning

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

readme

README文件语法解读，即Github Flavored Markdown语法介绍

sagemaker-debugger

Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors

sagemaker-python-sdk

A library for training and deploying machine learning models on Amazon SageMaker

sagemaker-pytorch-training-toolkit

Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://github.com/aws/deep-learning-containers.

sagemaker-training-toolkit

Train machine learning models within a 🐳 Docker container using 🧠 Amazon SageMaker.

sre_iot

toxiccomment

training_results_v0.7

Training v0.7 results

transformers

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