DevelopVersion 0.2.0!

.github/workflows/publish-develop.yml

@@ -7,21 +7,15 @@ jobs:
     publish:
         runs-on: ubuntu-latest
         steps:
-            - uses: actions/checkout@v4
+            - name: Checkout code
+              uses: actions/checkout@v4
 
-            - name: Set up Python 3.12
-              uses: actions/setup-python@v5
-              with:
-                  python-version: "3.12"
+            - name: Install UV
+              run: curl -LsSf https://astral.sh/uv/install.sh | sh
 
-            - name: Install Poetry via pipx
-              run: pipx install poetry
-
-            - name: Configure TestPyPI repository
-              run: poetry config repositories.testpypi https://test.pypi.org/legacy/
-
-            - name: Build and publish to TestPyPI
+            - name: Build and Publish to TestPyPI
               env:
-                  POETRY_HTTP_BASIC_TESTPYPI_USERNAME: __token__
-                  POETRY_HTTP_BASIC_TESTPYPI_PASSWORD: ${{ secrets.TEST_PYPI_TOKEN }}
-              run: poetry publish --build --no-interaction -r testpypi
+                  UV_PUBLISH_TOKEN: ${{ secrets.TEST_PYPI_TOKEN }}
+              run: |
+                uv build
+                uv publish --index testpypi

.github/workflows/publish-main.yml

@@ -9,26 +9,24 @@ jobs:
         permissions:
             contents: write # required to push git tags
         steps:
-            - uses: actions/checkout@v4
+            - name: Checkout code
+              uses: actions/checkout@v4
 
-            - name: Set up Python 3.12
-              uses: actions/setup-python@v5
-              with:
-                  python-version: "3.12"
+            - name: Install UV
+              run: curl -LsSf https://astral.sh/uv/install.sh | sh
 
-            - name: Install Poetry via pipx
-              run: pipx install poetry
-
-            - name: Build and publish to PyPI
+            - name: Build and Publish
               env:
-                  POETRY_HTTP_BASIC_PYPI_USERNAME: __token__
-                  POETRY_HTTP_BASIC_PYPI_PASSWORD: ${{ secrets.PYPI_TOKEN }}
-              run: poetry publish --build --no-interaction
+                  UV_PUBLISH_TOKEN: ${{ secrets.PYPI_TOKEN }}
+              run: |
+                uv build
+                uv publish
 
             - name: Tag release
+              env:
+                  GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
               run: |
-                  VERSION=$(poetry version --short)
+                  VERSION=$(uv version --short)
                   git config user.name "github-actions[bot]"
                   git config user.email "github-actions[bot]@users.noreply.github.com"
-                  git tag "v$VERSION"
-                  git push origin "v$VERSION"
+                  gh release create "v$VERSION" --notes-file ./CHANGELOG.md

.github/workflows/run-tests.yml

@@ -1,33 +1,22 @@
 name: Run Tests
 
 on:
-    push:
-        branches:
-            - develop
-            - main
     pull_request:
         branches:
+            - 'release/**'
             - develop
             - main
 
 jobs:
     test:
         runs-on: ubuntu-latest
-
         steps:
             - name: Checkout code
               uses: actions/checkout@v4
 
-            - name: Set up Python
-              uses: actions/setup-python@v5
-              with:
-                  python-version: "3.12"
-
-            - name: Install dependencies
-              run: |
-                  pipx install poetry
-                  poetry install
+            - name: Install UV
+              run: curl -LsSf https://astral.sh/uv/install.sh | sh
 
             - name: Run tests
               run: |
-                  poetry run pytest
+                  uv run pytest

.gitignore

@@ -139,4 +139,9 @@ dmypy.json
 **.Rhistory
 
 # MacOS
-.DS_Store
+.DS_Store
+./
+.gitignore
+
+# Emacs
+*.org

.readthedocs.yml

@@ -7,16 +7,16 @@ version: 2
 
 # Set the OS, Python version and other tools you might need
 build:
-  os: ubuntu-22.04
+  os: ubuntu-24.04
   tools:
     python: "3.12"
   jobs:
     post_create_environment:
-      # Install poetry
-      # https://python-poetry.org/docs/#installing-manually
-      - pip install poetry
+      # Install UV
+      # https://docs.astral.sh/uv/getting-started/installation/#__tabbed_1_1
+      - curl -LsSf https://astral.sh/uv/install.sh | sh
     post_install:
-      - VIRTUAL_ENV=$READTHEDOCS_VIRTUALENV_PATH poetry install --all-groups
+      - VIRTUAL_ENV=$READTHEDOCS_VIRTUALENV_PATH uv sync
 
 # Build documentation in the "docs/" directory with Sphinx
 sphinx:

CHANGELOG.md

@@ -1,22 +1,9 @@
 # Changelog
 
-## v0.1.4 (05/14/2026)
+## v0.2.0
 
-- Added a copy method to Sequential class to make deep copies of a model instance.
-- Added tests for Sequential class and builder, and added a test runner to CI/CD.
+- Optimization module has been refactored. This is a breaking change.
+- Added initialization base class, He initialization, and Xavier initialization.
+- Added "full-batch" training by setting `batch_size` model parameter to `None`.
+- Documentation updated to include overview.
 
-## v0.1.3 (05/07/2026)
-
-- Removed datasets and pillow as package dependencies and moved to dev dependencies
-
-## v0.1.2 (05/07/2026)
-
-- Fixing CI publishing issue 
-
-## v0.1.1 (05/07/2026)
-
-- Setup CI/CD with GitHub Actions
-
-## v0.1.0 (05/04/2026)
-
-- First release of `phitodeep`!

CONTRIBUTING.md

@@ -1,4 +1,4 @@
-# Contributing
+# Contributing to Phito-Deep
 
 Contributions are welcome, and they are greatly appreciated! Every little bit
 helps, and credit will always be given.
@@ -42,20 +42,11 @@ If you are proposing a feature:
 
 Ready to contribute? Here's how to set up `phitodeep` for local development.
 
-1. Download a copy of `phitodeep` locally.
+1. Clone the repository from GitHub.
 
-2. Create and activate a conda environment for `phitodeep`:
+2. You will need to install [UV](https://docs.astral.sh/uv/getting-started/installation/). It is a modern Python environment and project management tool. You will grow to love it, trust me.
 
-    ```console
-    $ conda create -n phitodeep python=3.12
-    $ conda activate phitodeep
-    ```
-
-3. Install `phitodeep` using `poetry`:
-
-    ```console
-    $ poetry install
-    ```
+3. Simply run `uv run pytest` in the root directory of your cloned repository and it should automatically create your virtual environment with all the necessary dependencies, followed by running the project test suite.
 
 4. Use `git` (or similar) to create a branch for local development and make your changes:
 
@@ -65,7 +56,7 @@ Ready to contribute? Here's how to set up `phitodeep` for local development.
 
 5. When you're done making changes, check that your changes conform to any code formatting requirements and pass any tests.
 
-6. Commit your changes and open a pull request.
+6. Commit your changes and open a pull request against the current release branch in development.
 
 ## Pull Request Guidelines
 

README.md

@@ -1,6 +1,6 @@
-# phitodeep
+# Phito-Deep
 
-Deep learning framework built from scratch with numpy!
+Phito-Deep is a deep learning framework built from scratch with only numpy. This is being actively developed as part of my learning journey to becoming a machine learning engineer. I'm using it to better understand the underlying algorithms that power modern deep learning frameworks and architectures.
 
 ## Installation
 
@@ -14,8 +14,10 @@ MNIST quickstart:
 import numpy as np
 from datasets import load_dataset
 
-import phitodeep.loss as loss
-import phitodeep.model as m
+from phitodeep.model import SequentialBuilder
+from phitodeep.loss import CategoricalCrossEntropy
+from phitodeep.optimization.optimizers import Adam
+from phitodeep.optimization.initialization import Xavier, InitType
 
 train_dataset = load_dataset("ylecun/mnist", split="train")
 test_dataset = load_dataset("ylecun/mnist", split="test")
@@ -32,24 +34,25 @@ y_test = np.array(y_test)
 print(X_train.shape, y_train.shape)
 
 model = (
-    m.SequentialBuilder()
+    SequentialBuilder()
     .flatten()
     .dense(784, 128)
     .relu()
-    .dense(128, 10)
+    .dense(128, 64, Xavier(InitType.NORMAL))
+    .relu()
+    .dense(64, 10, Xavier(InitType.NORMAL))
     .softmax()
-    .optimizer("adam")
-    .loss(loss.CategoricalCrossEntropy())
-    .alpha(0.001)
-    .epochs(300)
-    .batch(32)
+    .optimizer(Adam())
+    .loss(CategoricalCrossEntropy())
+    .alpha(0.05)
+    .epochs(5)
+    .batch(64)
     .build()
 )
 
 model.summary()
 
 model.train(X_train, y_train, X_test, y_test)
-
 ```
 
 ## Contributing

docs/conduct.md

@@ -1,2 +1,2 @@
-```{include} ../CONDUCT.md
-```
+```{include} ../CODE_OF_CONDUCT.md
+```

docs/index.md

@@ -5,6 +5,7 @@
 :maxdepth: 1
 :hidden:
 
+overview.md
 mnist.ipynb
 changelog.md
 contributing.md