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EveryO v0.1.0 — Foundation Release

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@krishanth7 krishanth7 released this 19 Sep 10:14
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v0.1.0
69d965b
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Learn about vigilant mode.

EveryO’s first public release establishes a complete, CPU-first neural-computing foundation with optional TensorFlow and CUDA integrations. It runs locally and requires no external AI APIs or API keys.

Highlights

  • Tensor API with NumPy-backed operations and reverse-mode automatic differentiation
  • Neural-network modules including Linear, common activations, losses, and Sequential
  • SGD, momentum, and Adam optimizers
  • Dataset, DataLoader, preprocessing, training history, callbacks, and metrics
  • Safe .evo model serialization
  • Optional TensorFlow reference backend
  • Initial CUDA kernels and Python bindings with graceful CPU fallback
  • CLI diagnostics, benchmarks, visualization, examples, and project documentation
  • 407 tests covering numerical correctness, gradients, serialization, and end-to-end workflows

Install from source

git clone https://github.com/krishanth7/EveryO.git
cd EveryO
git checkout v0.1.0
python -m venv .venv
python -m pip install -e .
python -m pytest

Release scope

This release is EveryO’s stable foundation. Advanced convolution, transformer, distributed-training, quantization, profiling, ONNX, mixed-precision, and GPU-resident runtime capabilities arrive in v0.2.0.

Target commit: 69d965b

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