stas00 / ipyexperimentsLinks
Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers
☆216Updated last year
Alternatives and similar repositories for ipyexperiments
Users that are interested in ipyexperiments are comparing it to the libraries listed below
Sorting:
- A queue service for quickly developing scripts that use all your GPUs efficiently☆85Updated 2 years ago
- Fit your tensorflow model using fastai and PyTorch☆91Updated 5 years ago
- Docs☆143Updated 6 months ago
- Tensor Shape Annotation Library (numpy, tensorflow, pytorch, ...)☆266Updated 5 years ago
- OLD REPO - PLEASE USE fastai/fastai☆181Updated 2 years ago
- A fast way to turn your python function into a script☆165Updated 3 years ago
- Tricks for Colab power users☆168Updated 5 years ago
- Unit Testing for pytorch, based on mltest☆310Updated 4 years ago
- PyTorch functions and utilities to make your life easier☆195Updated 4 years ago
- Lightweight interface to AWS☆47Updated 5 years ago
- Shape and dimension inference (Keras-like) for PyTorch layers and neural networks☆570Updated 2 years ago
- ☆168Updated 6 years ago
- Experiment orchestration☆103Updated 4 years ago
- A list of extensions for the fastai library.☆160Updated 4 years ago
- Code you can use jointly with fastai☆93Updated 4 years ago
- Named Tensor implementation for Torch☆444Updated 2 years ago
- Python Research Framework☆106Updated 2 years ago
- Train fastai models faster (and other useful tools)☆68Updated 11 months ago
- A Docker image for serving fast.ai models, mimicking the API of Tensorflow Serving☆122Updated 5 years ago
- ☆153Updated 5 years ago
- A collection of inference modules for fastai2☆90Updated 2 years ago
- Train ImageNet in 18 minutes on AWS☆129Updated last year
- Inline data annotator for Jupyter notebooks☆179Updated 2 years ago
- A simple wrapper over `pydot` and `graphviz` which fixes some sharp edges☆63Updated 2 years ago
- Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)☆136Updated last year
- Swarm training framework using Haiku + JAX + Ray for layer parallel transformer language models on unreliable, heterogeneous nodes☆239Updated 2 years ago
- PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and la…☆226Updated 5 years ago
- ☆194Updated 5 years ago
- Neural networks training pipeline based on PyTorch☆312Updated 5 years ago
- Testing framework to simplify writing ML unit tests.☆348Updated 5 years ago