-
tenflowers-neural
Neural network layers, models and training APIs for TenfloweRS
-
tenflowers-ffi
Python bindings for TenfloweRS
-
entrenar
Training & Optimization library with autograd, LoRA, quantization, and model merging
-
tenflowers-dataset
Data pipeline and dataset utilities for TenfloweRS
-
autograph
A machine learning library for Rust
-
ghostflow-autograd
Automatic differentiation for GhostFlow ML framework
-
rustyasg
A deep learning framework in Rust, focusing on an Abstract Semantic Graph (ASG) for autograd and Transformer architectures
-
torsh
A blazingly fast, production-ready deep learning framework written in pure Rust
-
autograd
Tensors and differentiable operations in Rust
-
briny_ai
A tiny & efficient AI inference engine
-
tenflowers
Pure Rust implementation of TensorFlow - A comprehensive deep learning framework
-
ferrite-dl
Deep learning library written in pure Rust
-
micro_grad
A minimal autograd + MLP engine in Rust
-
hodu_macro_utils
hodu macro utils
-
microtensor
Automatic differentiation for tensor operations
-
epsilon
Fast autograd using dual numbers
-
zenu-autograd
autograd library for learning purposes
-
tenflowers-core
Core tensor operations and execution engine for TenfloweRS
-
zenu-layer
neural network layer library
-
rustygrad
A tiny autograd engine inspired by micrograd
-
zenu-optimizer
optimizer for neural networks
-
dynagrad
Dynamic Auto-differentiation
-
ferrite-ml
was moved to ferrite-dl
-
ugrad
Autograd engine + tensor library + wgpu backend
Try searching with DuckDuckGo.