avik-pal / DeepLearningBenchmarksLinks
Benchmarks across Deep Learning Frameworks in Julia and Python
☆25Updated 5 years ago
Alternatives and similar repositories for DeepLearningBenchmarks
Users that are interested in DeepLearningBenchmarks are comparing it to the libraries listed below
Sorting:
- Julia machine learning environment☆14Updated 6 years ago
- "Maybe we have our own magic."☆47Updated 5 years ago
- A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.☆78Updated 2 years ago
- ☆28Updated 3 years ago
- ☆16Updated 5 months ago
- Julia implementation for the BFloat16 number type☆51Updated this week
- Deprecated in favor of https://github.com/PhilipVinc/TensorBoardLogger.jl/☆12Updated 5 years ago
- ☆63Updated 5 years ago
- Differentiate python calls from Julia☆56Updated 2 years ago
- Reusable functionality for defining custom attention/transformer layers.☆52Updated 3 months ago
- Distributed computation of differentiation pipelines to use multiple workers, devices, GPU, etc. since Julia wasn't fast enough already☆67Updated last year
- Unrolling loops at compile-time☆51Updated 2 years ago
- Utilities to efficiently track learning curves or other optimization information☆30Updated 4 years ago
- It slices, it dices, it splices!☆136Updated last month
- A Cassette-based automatic differentiation package for the Julia language☆56Updated 2 years ago
- Easy peasy logging to TensorBoard with Julia☆110Updated 7 months ago
- Geometric transformations on images for Julia☆46Updated last month
- ☆35Updated 2 years ago
- Your local Flux surgeon☆24Updated 2 months ago
- Estimate the absolute performance of a piece of Julia code☆100Updated last year
- Material for "Differentiable programming with Flux" at ODSC East & Europe, 2019☆24Updated 5 years ago
- Logging sinks and utilites for interactive terminals☆40Updated 2 years ago
- Julia interface for dlpack☆52Updated 5 months ago
- Heard you like GPUs☆25Updated 2 years ago
- Distributed Data Parallel Training of Deep Neural Networks☆57Updated last year
- eXpression differentiation in Julia☆29Updated 5 years ago
- Optimisers.jl defines many standard optimisers and utilities for learning loops.☆86Updated 2 months ago
- Julia package for selecting hardware, libraries, and algorithms for a computation☆34Updated 4 years ago
- Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)☆58Updated 3 years ago
- Utility package for subsetting, resampling, iteration, and partitioning of various types of data sets in Machine Learning☆61Updated 3 years ago