bilal2vec / L2
l2 is a fast, Pytorch-style Tensor+Autograd library written in Rust
☆195Updated 2 years ago
Alternatives and similar repositories for L2:
Users that are interested in L2 are comparing it to the libraries listed below
- A machine learning library for Rust.☆324Updated 6 months ago
- Autodifferentiation package in Rust.☆174Updated 6 years ago
- Rust wrapper for Microsoft's ONNX Runtime (version 1.8)☆287Updated 11 months ago
- Tensors and differentiable operations (like TensorFlow) in Rust☆488Updated 2 years ago
- Enzyme integration into Rust. Experimental, do not use.☆102Updated last year
- Scientific Computing in Rust☆187Updated 11 months ago
- Inference Llama 2 in one file of pure Rust 🦀☆231Updated last year
- Experimentation using the xla compiler from rust☆91Updated 6 months ago
- Computational graphs with reverse automatic differentation in the GPU☆390Updated 2 years ago
- ☆25Updated last year
- General matrix multiplication of f32 and f64 matrices in Rust. Supports matrices with general strides.☆226Updated 6 months ago
- Rust-tokenizer offers high-performance tokenizers for modern language models, including WordPiece, Byte-Pair Encoding (BPE) and Unigram (…☆303Updated last year
- Dataflow is a data processing library, primarily for machine learning.☆20Updated last year
- Material for "ML Introduction to ndarray" workshop at RustFest 2019.☆111Updated 3 years ago
- Generic Automatic Differentiation library for Rust (aka "autograd")☆37Updated 3 years ago
- Rust wrapper for Microsoft's ONNX Runtime with CUDA support (version 1.7)☆24Updated 2 years ago
- Rust binding to CUDA APIs☆119Updated 2 years ago
- Extremely generic linear algebra libary for Rust☆223Updated 3 months ago
- Orkhon: ML Inference Framework and Server Runtime☆148Updated 4 years ago
- Rust library for running TensorRT accelerated deep learning models☆51Updated 3 years ago
- RAI: Rust ML framework with composable transformations like JAX.☆84Updated 7 months ago
- Hidden Markov Models in Rust☆70Updated 10 months ago
- 🦀 Example of serving deep learning models in Rust with batched prediction☆34Updated last year
- Einstein summation for Rust☆35Updated 3 years ago
- Half-precision floating point types f16 and bf16 for Rust.☆238Updated 9 months ago
- Experimental compiler for deep learning models☆26Updated this week
- Statistical routines for ndarray☆206Updated 5 months ago
- Rust based Cross-GPU Machine Learning☆91Updated 8 years ago
- Tensors and dynamic neural networks in pure Rust.☆1,070Updated 2 years ago
- finalfusion embeddings in Rust☆95Updated last year