szymonmaszke / torchlambda
Lightweight tool to deploy PyTorch models to AWS Lambda
☆125Updated 2 years ago
Related projects: ⓘ
- Toolkit for running PyTorch training scripts on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at https://gith…☆196Updated 10 months ago
- A queue service for quickly developing scripts that use all your GPUs efficiently☆81Updated last year
- Fit your tensorflow model using fastai and PyTorch☆91Updated 4 years ago
- Code you can use jointly with fastai☆92Updated 3 years ago
- Deploy FastAI Trained PyTorch Model in TorchServe and Host in Amazon SageMaker Inference Endpoint☆73Updated 3 years ago
- FastAI PyTorch Serverless API (w/ AWS Lambda)☆153Updated 6 years ago
- A very small PyTorch container in Alpine Linux☆66Updated 6 years ago
- Training deep learning models on AWS and GCP instances☆492Updated 11 months ago
- Keras callbacks for one-cycle training, cyclic learning rate (CLR) training, and learning rate range test.☆47Updated 5 years ago
- An example project showing how to use AWS Lambda to deploy your PyTorch model☆53Updated 5 years ago
- Amazon SageMaker Debugger provides functionality to save tensors during training of machine learning jobs and analyze those tensors☆158Updated 4 months ago
- Toolkit for allowing inference and serving with PyTorch on SageMaker. Dockerfiles used for building SageMaker Pytorch Containers are at h…☆134Updated 3 months ago
- AWS EC2 computer management for regular folks☆121Updated last year
- A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving☆122Updated 4 years ago
- ML model serving app based on APIs☆71Updated 2 years ago
- A fast way to turn your python function into a script☆164Updated 2 years ago
- A machine learning example app: dog classification in the browser☆64Updated last year
- Inline data annotator for Jupyter notebooks☆176Updated last year
- A list of extensions for the fastai library.☆160Updated 3 years ago
- ☆65Updated 4 years ago
- Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers☆202Updated 9 months ago
- A collection of inference modules for fastai2☆89Updated last year
- Research repo for code that may or may not end up in fastai3☆50Updated 3 years ago
- Run compute jobs on AWS as if you were running them locally.☆125Updated 2 years ago
- Distributed training with SageMaker's script mode using Horovod distributed deep learning framework☆32Updated 4 years ago
- AWS Spot instances for ML☆39Updated last year
- GitHub Action That Retrieves Model Runs From Weights & Biases☆60Updated 2 years ago
- ☆10Updated last year
- Management Dashboard for Torchserve☆120Updated last year
- Serve scikit-learn, XGBoost, TensorFlow, and PyTorch models with AWS Lambda container images support.☆95Updated last month