avik-pal / DeepLearningBenchmarks
Benchmarks across Deep Learning Frameworks in Julia and Python
☆25Updated 4 years ago
Alternatives and similar repositories for DeepLearningBenchmarks:
Users that are interested in DeepLearningBenchmarks are comparing it to the libraries listed below
- "Maybe we have our own magic."☆47Updated 4 years ago
- Julia machine learning environment☆14Updated 5 years ago
- A parallel iterator for large machine learning datasets that don't fit into memory inspired by PyTorch's `DataLoader` class.☆76Updated 2 years ago
- ☆63Updated 4 years ago
- Julia implementation for the BFloat16 number type☆50Updated 2 weeks ago
- ☆15Updated last year
- Geometric transformations on images for Julia☆46Updated last year
- Differentiate python calls from Julia☆56Updated 2 years ago
- 3D computer vision library in Julia☆102Updated 10 months ago
- ☆28Updated 3 years ago
- Automatic detection of sparsity in pure Julia functions for sparsity-enabled scientific machine learning (SciML)☆58Updated 3 years ago
- Distributed Data Parallel Training of Deep Neural Networks☆57Updated 10 months ago
- A operator overloading, tape-based, reverse-mode AD☆68Updated last year
- Unrolling loops at compile-time☆51Updated last year
- Parameterise all the things☆121Updated last month
- Estimate the absolute performance of a piece of Julia code☆99Updated last year
- Evolve Flux networks from scratch!☆41Updated last month
- Provides a convenience Julia macro to extract fields from composite types☆15Updated 4 years ago
- Distributed computation of differentiation pipelines to use multiple workers, devices, GPU, etc. since Julia wasn't fast enough already☆66Updated last year
- JuliaCon. Everywhere.☆75Updated 5 months ago
- eXpression differentiation in Julia☆28Updated 4 years ago
- Yet Another Source to Source Automatic Differentiation☆26Updated 5 years ago
- Material for "Differentiable programming with Flux" at ODSC East & Europe, 2019☆24Updated 5 years ago
- Utilities to efficiently track learning curves or other optimization information☆30Updated 3 years ago
- Transformations to contrained variables from ℝⁿ.☆67Updated this week
- Cunning tricks though the julia compiler internals☆85Updated this week
- Fast Convolutions in Julia☆43Updated 5 years ago
- An experimental implementation of sum-product networks with dense unitary transformations in leaves☆13Updated 2 years ago
- Same-same but different☆31Updated 2 years ago
- A foolproof way of doing ML with GUI elements.☆51Updated 3 years ago