Machine learning from scratch in Julia
☆32Feb 26, 2025Updated last year
Alternatives and similar repositories for julia-ml-from-scratch
Users that are interested in julia-ml-from-scratch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆24Oct 6, 2026Updated last week
- Inspecting GPUs with Julia☆46Feb 5, 2026Updated 8 months ago
- Julia implementation of flash-attention operation for neural networks.☆11May 31, 2023Updated 3 years ago
- Data-parallelism on CUDA using Transducers.jl and for loops (FLoops.jl)☆58May 30, 2023Updated 3 years ago
- Splitting collections into chunks☆69Feb 9, 2026Updated 8 months ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Reusable functionality for defining custom attention/transformer layers.☆55Nov 24, 2025Updated 10 months ago
- ☆27Nov 27, 2023Updated 2 years ago
- ☆14Oct 7, 2024Updated 2 years ago
- Julia workshop with a focus on understandable performance☆49Jan 21, 2022Updated 4 years ago
- KTH-FlowAI / Towards-extraction-of-orthogonal-and-parsimonious-non-linear-modes-from-turbulent-flows☆11Apr 5, 2023Updated 3 years ago
- A fermionic linear optics simulator backend for Yao.jl☆15Oct 7, 2026Updated last week
- Post-processing package for CFD simulations I run for my PhD☆13Oct 19, 2021Updated 4 years ago
- Benchmarks for the FluxML ecosystem for deep learning, scientific machine learning, differentiable programming etc including AD and CUDA …☆15Jun 4, 2022Updated 4 years ago
- ChainRulesCore compatible pullbacks using ForwardDiff☆13Apr 20, 2026Updated 5 months ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich☆261Aug 23, 2022Updated 4 years ago
- ☆18Sep 12, 2026Updated last month
- Simple, blazing fast, transformer components.☆23Apr 1, 2023Updated 3 years ago
- Metrics for evaluation of Machine Learning and Deep Learning Models☆16Apr 20, 2024Updated 2 years ago
- Simple, blazing fast, message-passing graph neural network.☆19May 14, 2024Updated 2 years ago
- Manage your Julia dependencies from Python☆67Sep 28, 2026Updated 2 weeks ago
- Type stable multithreaded tasks in julia☆31Mar 24, 2025Updated last year
- Repo that hosts the companion book of Julia for Deep Learning☆14Aug 23, 2023Updated 3 years ago
- CUDA integration for the NNlib API☆14Feb 5, 2023Updated 3 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- HPC setup for juliaup, julia and HPC key packages requiring system libraries☆65Aug 27, 2026Updated last month
- Load nanoGPT-style transformers in Julia. Code ported from @karpathy's llama2.c☆65Oct 8, 2023Updated 3 years ago
- Julia interface for dlpack☆56Dec 20, 2025Updated 9 months ago
- A Julia package for producing publication quality figures based on Makie.jl.☆131Jun 22, 2025Updated last year
- Utility for creating advisory pidfiles (lock files)☆12May 31, 2023Updated 3 years ago
- The Belief Propagation approximation for probability distributions on sparse graphs☆26Oct 3, 2026Updated last week
- Ridiculously fast symbolic expressions☆136Sep 29, 2026Updated 2 weeks ago
- ☆15Jul 8, 2025Updated last year
- Checkpointing for Automatic Differentiation☆66Updated this week
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- Simple multiprocessing for Julia☆54Updated this week
- ☆14Sep 30, 2026Updated 2 weeks ago
- Tools for visualizing Julia IR☆44Dec 9, 2025Updated 10 months ago
- A Julia package for simulation, inference and learning of Hidden Markov Models.☆125Oct 3, 2026Updated last week
- Data structures for graph neural network☆19May 25, 2024Updated 2 years ago
- Julia package for robust Pade approximation.☆12Jul 28, 2022Updated 4 years ago
- ☆17Sep 27, 2022Updated 4 years ago