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ManimML_helblazer811/examples/cnn/cnn_max_pool.py
from manim import * from PIL import Image import numpy as np from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.layers.image import ImageLayer from manim_ml.neural_network.layers.max_pool...
ManimML_helblazer811/examples/cnn/resnet_block.py
from manim import * from PIL import Image import numpy as np from manim_ml.neural_network import Convolutional2DLayer, NeuralNetwork # Make the specific scene config.pixel_height = 1200 config.pixel_width = 1900 config.frame_height = 6.0 config.frame_width = 6.0 def make_code_snippet(): code_str = """ # ...
ManimML_helblazer811/examples/cnn/cnn.py
from pathlib import Path from manim import * from PIL import Image from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.layers.image import ImageLayer from manim_ml.neural_network.neural_n...
ManimML_helblazer811/examples/cnn/padding_example.py
from manim import * from manim_ml.neural_network.layers.image import ImageLayer import numpy as np from PIL import Image from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.neural_network ...
ManimML_helblazer811/examples/cnn/activation_functions.py
from pathlib import Path from manim import * from PIL import Image from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.layers.image import ImageLayer from manim_ml.neural_network.neural_n...
ManimML_helblazer811/examples/cnn/one_by_one_convolution.py
from pathlib import Path from manim import * from PIL import Image from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.layers.image import ImageLayer from manim_ml.neural_network.neural_n...
ManimML_helblazer811/tests/test_plotting.py
from manim import * import matplotlib.pyplot as plt import seaborn as sns import matplotlib plt.style.use('dark_background') from manim_ml.utils.mobjects.plotting import convert_matplotlib_figure_to_image_mobject from manim_ml.utils.testing.frames_comparison import frames_comparison __module_test__ = "plotting" @f...
ManimML_helblazer811/tests/test_max_pool.py
from manim import * from PIL import Image import numpy as np from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.layers.image import ImageLayer from manim_ml.neural_network.layers.max_pool...
ManimML_helblazer811/tests/test_embedding_layer.py
from manim import * from manim_ml.neural_network.layers.embedding import EmbeddingLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.neural_network import NeuralNetwork config.pixel_height = 720 config.pixel_width = 1280 config.frame_height = 5.0 config.frame_w...
ManimML_helblazer811/tests/conftest.py
from __future__ import annotations import os import sys import pytest from manim import config, tempconfig def pytest_addoption(parser): parser.addoption( "--skip_slow", action="store_true", default=False, help="Will skip all the slow marked tests. Slow tests are arbitrarily mar...
ManimML_helblazer811/tests/test_feed_forward_thickness_change.py
""" Tests for feed forward to feed forward weight change animations. """
ManimML_helblazer811/tests/test_variational_autoencoder.py
from manim import * from PIL import Image from manim_ml.neural_network.layers import EmbeddingLayer, FeedForwardLayer, ImageLayer from manim_ml.neural_network.neural_network import NeuralNetwork config.pixel_height = 720 config.pixel_width = 1280 config.frame_height = 8.0 config.frame_width = 8.0 class VariationalAu...
ManimML_helblazer811/tests/test_surrounding_rectangle.py
from manim import * class SurroundingRectangleTest(Scene): def construct(self): rectangle = Rectangle(width=1, height=1, color=WHITE, fill_opacity=1.0) self.add(rectangle) surrounding_rectangle = SurroundingRectangle(rectangle, color=GREEN, buff=0.0) self.add(surrounding_rectangle...
ManimML_helblazer811/tests/test_camera_move.py
from manim import * from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.layers.image import ImageLayer from manim_ml.neural_network.neural_network import NeuralNetwork from PIL import Image...
ManimML_helblazer811/tests/test_gridded_rectangle.py
from manim import * from manim_ml.utils.mobjects.gridded_rectangle import GriddedRectangle class TestGriddedRectangleScene(ThreeDScene): def construct(self): rect = GriddedRectangle(color=ORANGE, width=3, height=3) self.add(rect)
ManimML_helblazer811/tests/test_ff_residual.py
from manim import * from manim_ml.neural_network import NeuralNetwork, FeedForwardLayer, MathOperationLayer # Make the specific scene config.pixel_height = 1200 config.pixel_width = 1900 config.frame_height = 6.0 config.frame_width = 6.0 class TestFeedForwardResidualNetwork(Scene): def construct(self): #...
ManimML_helblazer811/tests/test_show_gaussian.py
from manim import * from manim_ml.utils.mobjects.probability import GaussianDistribution class TestShowGaussian(Scene): def construct(self): axes = Axes() self.add(axes) gaussian = GaussianDistribution( axes, mean=np.array([0.0, 0.0]), cov=np.array([[2.0, 0.0], [0.0, 1.0]]) ...
ManimML_helblazer811/tests/test_mcmc.py
from manim import * from manim_ml.diffusion.mcmc import ( MCMCAxes, MultidimensionalGaussianPosterior, metropolis_hastings_sampler, ) from manim_ml.utils.mobjects.plotting import convert_matplotlib_figure_to_image_mobject import numpy as np import matplotlib.pyplot as plt import seaborn as sns import matpl...
ManimML_helblazer811/tests/test_image_homotopy.py
from PIL import Image from manim import * from manim_ml.utils.mobjects.image import GrayscaleImageMobject from manim_ml.neural_network.layers.parent_layers import ThreeDLayer class TestImageHomotopy(Scene): def compute_shape_at_time(self, time): """Computes the shape of a transformed image at a given tim...
ManimML_helblazer811/tests/test_convolutional_2d_layer.py
from manim import * from PIL import Image from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.layers.image import ImageLayer from manim_ml.neural_network.neural_network import NeuralNetwor...
ManimML_helblazer811/tests/test_activation_function.py
from manim import * from PIL import Image import numpy as np from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.layers.image import ImageLayer from manim_ml.neural_network.neural_network ...
ManimML_helblazer811/tests/test_triplet.py
from manim import * from manim_ml.neural_network.layers import TripletLayer, triplet from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.neural_network import NeuralNetwork config.pixel_height = 720 config.pixel_width = 1280 config.frame_height = 6.0 config.frame_width...
ManimML_helblazer811/tests/test_opengl_shader.py
import manim.utils.opengl as opengl from manim import * from manim.opengl import * # type: ignore class InlineShaderExample(Scene): def construct(self): config["background_color"] = "#333333" c = Circle(fill_opacity=0.7).shift(UL) self.add(c) shader = Shader( self.re...
ManimML_helblazer811/tests/test_residual_connection.py
from manim import * from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer from manim_ml.utils.testing.frames_comparison import frames_comparison from manim_ml.neural_network import NeuralNetwork, FeedForwardLayer, ImageLayer from PIL import Image import numpy as np __module_test__ = "resid...
ManimML_helblazer811/tests/test_nested_neural_networks.py
""" The purpose of this test is to ensure that it is possible to have nested neural network layers. """
ManimML_helblazer811/tests/test_conv_padding.py
from manim import * from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.neural_network import NeuralNetwork from manim_ml.utils.testing.frames_comparison import frames_comparison __modul...
ManimML_helblazer811/tests/test_nn_dropout.py
from manim import * from manim_ml.neural_network.animations.dropout import ( make_neural_network_dropout_animation, ) from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.layers.image import ImageLayer from PIL import Image from manim_ml.neural_network.neural_network...
ManimML_helblazer811/tests/test_succession.py
from manim import * class TestSuccession(Scene): def construct(self): white_dot = Dot(color=WHITE) white_dot.shift(UP) red_dot = Dot(color=RED) self.play( Succession( Create(white_dot), white_dot.animate.shift(RIGHT), Cr...
ManimML_helblazer811/tests/test_decision_tree.py
from manim import * from manim_ml.decision_tree.decision_tree import ( DecisionTreeDiagram, DecisionTreeSurface, IrisDatasetPlot, ) from sklearn.tree import DecisionTreeClassifier from sklearn import datasets import sklearn import matplotlib.pyplot as plt def learn_iris_decision_tree(iris): decision_t...
ManimML_helblazer811/tests/test_paired_query.py
from manim import * from manim_ml.neural_network.layers import PairedQueryLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.neural_network import NeuralNetwork config.pixel_height = 720 config.pixel_width = 1280 config.frame_height = 6.0 config.frame_width = 6....
ManimML_helblazer811/tests/test_nn_scale.py
from manim import * from PIL import Image from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.layers.image import ImageLayer from manim_ml.neural_network.neural_network import NeuralNetwor...
ManimML_helblazer811/tests/test_feed_forward.py
from manim import * from manim_ml.utils.testing.frames_comparison import frames_comparison from manim_ml.neural_network import NeuralNetwork, FeedForwardLayer __module_test__ = "feed_forward" @frames_comparison def test_FeedForwardScene(scene): """Tests the appearance of a feed forward network""" nn = Neura...
ManimML_helblazer811/tests/test_color_scheme.py
from manim import * from manim_ml.neural_network import NeuralNetwork, FeedForwardLayer import manim_ml manim_ml.config.color_scheme = "light_mode" config.pixel_height = 1200 config.pixel_width = 1900 config.frame_height = 6.0 config.frame_width = 6.0 class FeedForwardScene(Scene): def construct(self): ...
ManimML_helblazer811/tests/test_layers.py
from manim import * from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.layers.feed_forward_to_feed_forward import ( FeedForwardToFeedForward, ) from manim_ml.neural_network.layers.util import get_connective_layer def test_get_connective_layer(): """Tests get ...
ManimML_helblazer811/tests/test_neural_network.py
from cv2 import exp from manim import * from manim_ml.neural_network.layers.embedding import EmbeddingLayer from manim_ml.neural_network.layers.embedding_to_feed_forward import ( EmbeddingToFeedForward, ) from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer from manim_ml.neural_network.layers.fe...
ManimML_helblazer811/tests/test_expand_image_patches.py
""" Tests animation for converting """ from manim import * import sys sys.path.append("..") from examples.cross_attention_vis.cross_attention_vis import ImagePatches, ExpandPatches config.background_color = WHITE class ConvertImageToPatches(Scene): def construct(self): # Load image mobject ...
ManimML_helblazer811/docs/source/visualizing_neural_networks.rst
Visualizing Neural Networks with ManimML ======================================== This is a tutorial on how to make neural network architecture visualizations and animate common algorithms like the forward pass of a neural network. Neural networks are a ubiquitous class of machine learning techniques. One of the pr...
ManimML_helblazer811/docs/source/neural_network_rendering_pipeline.rst
Design Doc: Neural Network Rendering Pipeline ============================================= ======= Neural Network Layer Scope and Mobject Ownership ======= An important consideration when designing this pipeline was to figure out a consistent design philosophy answering the following questions: 1. What content is...
ManimML_helblazer811/docs/source/reference.rst
Reference =========
ManimML_helblazer811/docs/source/index.rst
.. ManimML documentation master file, created by sphinx-quickstart on Fri Apr 29 10:47:48 2022. You can adapt this file completely to your liking, but it should at least contain the root `toctree` directive. ManimML Documentation! ====================== .. toctree:: :maxdepth: 2 :caption: Contents: I...
ManimML_helblazer811/docs/source/modules.rst
manim_ml ======== .. toctree:: :maxdepth: 4 manim_ml
ManimML_helblazer811/docs/source/manim_ml.neural_network.layers.rst
manim\_ml.neural\_network.layers package ======================================== Submodules ---------- manim\_ml.neural\_network.layers.convolutional module ----------------------------------------------------- .. automodule:: manim_ml.neural_network.layers.convolutional :members: :undoc-members: :show-inh...
ManimML_helblazer811/docs/source/conf.py
# Configuration file for the Sphinx documentation builder. # # This file only contains a selection of the most common options. For a full # list see the documentation: # https://www.sphinx-doc.org/en/master/usage/configuration.html # -- Path setup -------------------------------------------------------------- # If ex...
ManimML_helblazer811/docs/source/getting_started.rst
Getting Started =============== This tutorial shows you how to install ManimML and generate your first machine learning animation. Adding to
ManimML_helblazer811/docs/source/installation.rst
Installation ============
ManimML_helblazer811/docs/source/manim_ml.rst
manim\_ml package ================= Subpackages ----------- .. toctree:: :maxdepth: 4 manim_ml.neural_network Submodules ---------- manim\_ml.image module ---------------------- .. automodule:: manim_ml.image :members: :undoc-members: :show-inheritance: manim\_ml.list\_group module ---------------...
ManimML_helblazer811/docs/source/manim_ml.neural_network.rst
manim\_ml.neural\_network package ================================= Subpackages ----------- .. toctree:: :maxdepth: 4 manim_ml.neural_network.layers Submodules ---------- manim\_ml.neural\_network.neural\_network module ------------------------------------------------ .. automodule:: manim_ml.neural_network...
ManimML_helblazer811/docs/source/neural_network_guide.rst
Neural Network Guide ==================== .. manim:: ManimCELogo :save_last_frame: :ref_classes: MathTex Circle Square Triangle class ManimCELogo(Scene): def construct(self): self.camera.background_color = "#ece6e2" logo_green = "#87c2a5" logo_blue = "#525893" ...