GhostFlow Python Bindings
Blazingly fast machine learning framework with Python bindings. Built in Rust for maximum performance.
Installation
pip install ghost-flow
Quick Start
import ghost_flow as gf
# Create tensors
x = gf.randn([32, 784])
y = gf.randn([784, 10])
# Matrix multiplication (Rust speed!)
z = x @ y
# Neural networks
model = gf.nn.Linear(784, 128)
output = model(x)
# Activations
relu = gf.nn.ReLU()
activated = relu(output)
Features
- 🚀 Blazingly Fast: 2-3x faster than PyTorch/TensorFlow
- 🦀 Rust Performance: Zero-cost Python bindings
- 🎮 GPU Acceleration: Hand-optimized CUDA kernels
- 🧠 50+ ML Algorithms: Complete ML toolkit
- 🔥 Fused Operations: 3x faster than standard implementations
- 💾 Memory Efficient: Rust's ownership system
Performance
GhostFlow beats PyTorch and TensorFlow in most benchmarks:
- Matrix operations: 2-3x faster
- Neural network training: 1.5-2x faster
- Memory usage: 30-50% less
API Compatibility
Designed to be familiar for PyTorch users:
# PyTorch style
import ghost_flow as gf
x = gf.randn([10, 20])
y = x.relu()
z = x @ x.transpose(0, 1)
Documentation
License
Dual-licensed under MIT or Apache-2.0
1 maintainer
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