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ManimML_helblazer811/LICENSE.md | MIT License
Copyright (c) 2022 Alec Helbling
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, dis... |
ManimML_helblazer811/setup.py | from setuptools import setup, find_packages
setup(
name="manim_ml",
version="0.0.17",
description=("Machine Learning Animations in python using Manim."),
packages=find_packages(),
)
|
ManimML_helblazer811/Readme.md | # ManimML
<a href="https://github.com/helblazer811/ManimMachineLearning">
<img src="assets/readme/ManimMLLogo.gif">
</a>
[](https://github.com/helblazer811/ManimMachineLearning/blob/main/LICENSE.md)
[:
self._color_scheme = default_color_scheme
self.three_d_config = Namespace... |
ManimML_helblazer811/manim_ml/scene.py | from manim import *
class ManimML3DScene(ThreeDScene):
"""
This is a wrapper class for the Manim ThreeDScene
Note: the primary purpose of this is to make it so
that everything inside of a layer
"""
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
def play(s... |
ManimML_helblazer811/manim_ml/diffusion/mcmc.py | """
Tool for animating Markov Chain Monte Carlo simulations in 2D.
"""
from manim import *
import matplotlib
import matplotlib.pyplot as plt
from manim_ml.utils.mobjects.plotting import convert_matplotlib_figure_to_image_mobject
import numpy as np
import scipy
import scipy.stats
from tqdm import tqdm
import seabor... |
ManimML_helblazer811/manim_ml/utils/__init__.py | |
ManimML_helblazer811/manim_ml/utils/colorschemes/__init__.py | from manim_ml.utils.colorschemes.colorschemes import light_mode, dark_mode |
ManimML_helblazer811/manim_ml/utils/colorschemes/colorschemes.py | from manim import *
from dataclasses import dataclass
@dataclass
class ColorScheme:
primary_color: str
secondary_color: str
active_color: str
text_color: str
background_color: str
dark_mode = ColorScheme(
primary_color=BLUE,
secondary_color=WHITE,
active_color=ORANGE,
text_color=WH... |
ManimML_helblazer811/manim_ml/utils/mobjects/__init__.py | |
ManimML_helblazer811/manim_ml/utils/mobjects/connections.py | import numpy as np
from manim import *
class NetworkConnection(VGroup):
"""
This class allows for creating connections
between locations in a network
"""
direction_vector_map = {"up": UP, "down": DOWN, "left": LEFT, "right": RIGHT}
def __init__(
self,
start_mobject,
e... |
ManimML_helblazer811/manim_ml/utils/mobjects/image.py | from manim import *
import numpy as np
from PIL import Image
class GrayscaleImageMobject(Group):
"""Mobject for creating images in Manim from numpy arrays"""
def __init__(self, numpy_image, height=2.3):
super().__init__()
self.numpy_image = numpy_image
assert len(np.shape(self.numpy_im... |
ManimML_helblazer811/manim_ml/utils/mobjects/list_group.py | from manim import *
class ListGroup(Mobject):
"""Indexable Group with traditional list operations"""
def __init__(self, *layers):
super().__init__()
self.items = [*layers]
def __getitem__(self, indices):
"""Traditional list indexing"""
return self.items[indices]
def ... |
ManimML_helblazer811/manim_ml/utils/mobjects/probability.py | from manim import *
import numpy as np
import math
class GaussianDistribution(VGroup):
"""Object for drawing a Gaussian distribution"""
def __init__(
self, axes, mean=None, cov=None, dist_theme="gaussian", color=ORANGE, **kwargs
):
super(VGroup, self).__init__(**kwargs)
self.axes ... |
ManimML_helblazer811/manim_ml/utils/mobjects/plotting.py | from manim import *
import numpy as np
import matplotlib
import matplotlib.pyplot as plt
from PIL import Image
import io
def convert_matplotlib_figure_to_image_mobject(fig, dpi=200):
"""Takes a matplotlib figure and makes an image mobject from it
Parameters
----------
fig : matplotlib figure
m... |
ManimML_helblazer811/manim_ml/utils/mobjects/gridded_rectangle.py | from manim import *
import numpy as np
class GriddedRectangle(VGroup):
"""Rectangle object with grid lines"""
def __init__(
self,
color=ORANGE,
height=2.0,
width=4.0,
mark_paths_closed=True,
close_new_points=True,
grid_xstep=None,
grid_ystep=Non... |
ManimML_helblazer811/manim_ml/utils/testing/frames_comparison.py | from __future__ import annotations
import functools
import inspect
from pathlib import Path
from typing import Callable
from _pytest.fixtures import FixtureRequest
from manim import Scene
from manim._config import tempconfig
from manim._config.utils import ManimConfig
from manim.camera.three_d_camera import ThreeDCa... |
ManimML_helblazer811/manim_ml/utils/testing/doc_directive.py | r"""
A directive for including Manim videos in a Sphinx document
"""
from __future__ import annotations
import csv
import itertools as it
import os
import re
import shutil
import sys
from pathlib import Path
from timeit import timeit
import jinja2
from docutils import nodes
from docutils.parsers.rst import Directive,... |
ManimML_helblazer811/manim_ml/decision_tree/decision_tree_surface.py | from manim import *
import numpy as np
from collections import deque
from sklearn.tree import _tree as ctree
class AABB:
"""Axis-aligned bounding box"""
def __init__(self, n_features):
self.limits = np.array([[-np.inf, np.inf]] * n_features)
def split(self, f, v):
left = AABB(self.limits.... |
ManimML_helblazer811/manim_ml/decision_tree/helpers.py | def compute_node_depths(tree):
"""Computes the depths of nodes for level order traversal"""
def depth(node_index, current_node_index=0):
"""Compute the height of a node"""
if current_node_index == node_index:
return 0
elif (
tree.children_left[current_node_index]... |
ManimML_helblazer811/manim_ml/decision_tree/decision_tree.py | """
Module for visualizing decision trees in Manim.
It parses a decision tree classifier from sklearn.
TODO return a map from nodes to split animation for BFS tree expansion
TODO reimplement the decision 2D decision tree surface drawing.
"""
from manim import *
from manim_ml.decision_tree.decision_t... |
ManimML_helblazer811/manim_ml/neural_network/neural_network.py | """Neural Network Manim Visualization
This module is responsible for generating a neural network visualization with
manim, specifically a fully connected neural network diagram.
Example:
# Specify how many nodes are in each node layer
layer_node_count = [5, 3, 5]
# Create the object with default style set... |
ManimML_helblazer811/manim_ml/neural_network/__init__.py | from manim_ml.neural_network.neural_network import NeuralNetwork
from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer
from manim_ml.neural_network.layers.convolutional_2d_to_convolutional_2d import (
Convolutional2DToConvolutional2D,
)
from manim_ml.neural_network.layers.convolutional_2d_to_feed... |
ManimML_helblazer811/manim_ml/neural_network/layers/math_operation_layer.py | from manim import *
from manim_ml.neural_network.activation_functions import get_activation_function_by_name
from manim_ml.neural_network.activation_functions.activation_function import (
ActivationFunction,
)
from manim_ml.neural_network.layers.parent_layers import VGroupNeuralNetworkLayer
class MathOperationLay... |
ManimML_helblazer811/manim_ml/neural_network/layers/embedding.py | from manim import *
from manim_ml.utils.mobjects.probability import GaussianDistribution
from manim_ml.neural_network.layers.parent_layers import VGroupNeuralNetworkLayer
class EmbeddingLayer(VGroupNeuralNetworkLayer):
"""NeuralNetwork embedding object that can show probability distributions"""
def __init__(... |
ManimML_helblazer811/manim_ml/neural_network/layers/paired_query.py | from manim import *
from manim_ml.neural_network.layers.parent_layers import NeuralNetworkLayer
from manim_ml.utils.mobjects.image import GrayscaleImageMobject, LabeledColorImage
import numpy as np
class PairedQueryLayer(NeuralNetworkLayer):
"""Paired Query Layer"""
def __init__(
self, positive, nega... |
ManimML_helblazer811/manim_ml/neural_network/layers/feed_forward_to_math_operation.py | from manim import *
from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer
from manim_ml.neural_network.layers.parent_layers import ConnectiveLayer
from manim_ml.neural_network.layers.math_operation_layer import MathOperationLayer
from manim_ml.utils.mobjects.connections import NetworkConnection
clas... |
ManimML_helblazer811/manim_ml/neural_network/layers/image_to_feed_forward.py | from manim import *
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.parent_layers import ConnectiveLayer
class ImageToFeedForward(ConnectiveLayer):
"""Image Layer to FeedForward layer"""
i... |
ManimML_helblazer811/manim_ml/neural_network/layers/vector.py | from manim import *
import random
from manim_ml.neural_network.layers.parent_layers import VGroupNeuralNetworkLayer
class VectorLayer(VGroupNeuralNetworkLayer):
"""Shows a vector"""
def __init__(self, num_values, value_func=lambda: random.uniform(0, 1), **kwargs):
super().__init__(**kwargs)
... |
ManimML_helblazer811/manim_ml/neural_network/layers/__init__.py | from manim_ml.neural_network.layers.convolutional_2d_to_feed_forward import (
Convolutional2DToFeedForward,
)
from manim_ml.neural_network.layers.convolutional_2d_to_max_pooling_2d import (
Convolutional2DToMaxPooling2D,
)
from manim_ml.neural_network.layers.image_to_convolutional_2d import (
ImageToConvolu... |
ManimML_helblazer811/manim_ml/neural_network/layers/util.py | import warnings
from manim import *
from manim_ml.neural_network.layers.parent_layers import BlankConnective, ThreeDLayer
from manim_ml.neural_network.layers import connective_layers_list
def get_connective_layer(input_layer, output_layer):
"""
Deduces the relevant connective layer
"""
connective_lay... |
ManimML_helblazer811/manim_ml/neural_network/layers/max_pooling_2d_to_feed_forward.py | from manim import *
from manim_ml.neural_network.layers.convolutional_2d_to_feed_forward import (
Convolutional2DToFeedForward,
)
from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer
from manim_ml.neural_network.layers.max_pooling_2d import MaxPooling2DLayer
class MaxPooling2DToFeedForward(Con... |
ManimML_helblazer811/manim_ml/neural_network/layers/feed_forward_to_image.py | from manim import *
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.parent_layers import ConnectiveLayer
class FeedForwardToImage(ConnectiveLayer):
"""Image Layer to FeedForward layer"""
i... |
ManimML_helblazer811/manim_ml/neural_network/layers/feed_forward.py | from manim import *
from manim_ml.neural_network.activation_functions import get_activation_function_by_name
from manim_ml.neural_network.activation_functions.activation_function import (
ActivationFunction,
)
from manim_ml.neural_network.layers.parent_layers import VGroupNeuralNetworkLayer
import manim_ml
class ... |
ManimML_helblazer811/manim_ml/neural_network/layers/parent_layers.py | from manim import *
from abc import ABC, abstractmethod
class NeuralNetworkLayer(ABC, Group):
"""Abstract Neural Network Layer class"""
def __init__(self, text=None, *args, **kwargs):
super(Group, self).__init__()
self.title_text = kwargs["title"] if "title" in kwargs else " "
if "titl... |
ManimML_helblazer811/manim_ml/neural_network/layers/triplet_to_feed_forward.py | from manim import *
from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer
from manim_ml.neural_network.layers.parent_layers import ConnectiveLayer
from manim_ml.neural_network.layers.triplet import TripletLayer
class TripletToFeedForward(ConnectiveLayer):
"""TripletLayer to FeedForward layer"""... |
ManimML_helblazer811/manim_ml/neural_network/layers/image.py | from manim import *
import numpy as np
from PIL import Image
from manim_ml.utils.mobjects.image import GrayscaleImageMobject
from manim_ml.neural_network.layers.parent_layers import NeuralNetworkLayer
class ImageLayer(NeuralNetworkLayer):
"""Single Image Layer for Neural Network"""
def __init__(
sel... |
ManimML_helblazer811/manim_ml/neural_network/layers/convolutional_2d_to_max_pooling_2d.py | import random
from manim import *
from manim_ml.utils.mobjects.gridded_rectangle import GriddedRectangle
from manim_ml.neural_network.layers.convolutional_2d_to_convolutional_2d import (
get_rotated_shift_vectors,
)
from manim_ml.neural_network.layers.max_pooling_2d import MaxPooling2DLayer
from manim_ml.neural_ne... |
ManimML_helblazer811/manim_ml/neural_network/layers/feed_forward_to_vector.py | from manim import *
from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer
from manim_ml.neural_network.layers.parent_layers import ConnectiveLayer
from manim_ml.neural_network.layers.vector import VectorLayer
class FeedForwardToVector(ConnectiveLayer):
"""Image Layer to FeedForward layer"""
... |
ManimML_helblazer811/manim_ml/neural_network/layers/feed_forward_to_feed_forward.py | from typing import List, Union
import numpy as np
from manim import *
from manim_ml.neural_network.layers.feed_forward import FeedForwardLayer
from manim_ml.neural_network.layers.parent_layers import ConnectiveLayer
import manim_ml
class FeedForwardToFeedForward(ConnectiveLayer):
"""Layer for connecting FeedForwa... |
ManimML_helblazer811/manim_ml/neural_network/layers/image_to_convolutional_2d.py | import numpy as np
from manim import *
from manim_ml.neural_network.layers.convolutional_2d import Convolutional2DLayer
from manim_ml.neural_network.layers.image import ImageLayer
from manim_ml.neural_network.layers.parent_layers import (
ThreeDLayer,
VGroupNeuralNetworkLayer,
)
from manim_ml.utils.mobjects.gr... |
ManimML_helblazer811/manim_ml/neural_network/layers/max_pooling_2d_to_convolutional_2d.py | import numpy as np
from manim import *
from manim_ml.neural_network.layers.convolutional_2d_to_convolutional_2d import (
Convolutional2DToConvolutional2D,
Filters,
)
from manim_ml.neural_network.layers.max_pooling_2d import MaxPooling2DLayer
from manim_ml.neural_network.layers.parent_layers import ConnectiveLa... |
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