├── .gitattributes ├── .gitignore ├── LICENSE ├── README.md ├── VAE_Generated_Images.png ├── autoencoders.ipynb ├── autoencoders_plot.png ├── convolutional2D_autoencoders_plot.png ├── convolutional_autoencoders_plot.png ├── denoising_autoencoders_plot.png ├── no_autoencoders_plot.png ├── pca_plot.png ├── pixel_lattice.png ├── requirements.txt ├── seq2seq_autoencoders_plot.png └── variational_autoencoders_plot.png /.gitattributes: -------------------------------------------------------------------------------- 1 | *.ipynb linguist-language=Python 2 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | __pycache__ 2 | .* 3 | !/.gitignore 4 | !/.gitattributes 5 | data/ 6 | -------------------------------------------------------------------------------- /LICENSE: -------------------------------------------------------------------------------- 1 | Apache License 2 | Version 2.0, January 2004 3 | http://www.apache.org/licenses/ 4 | 5 | TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION 6 | 7 | 1. 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We also recommend that a 185 | file or class name and description of purpose be included on the 186 | same "printed page" as the copyright notice for easier 187 | identification within third-party archives. 188 | 189 | Copyright [yyyy] [name of copyright owner] 190 | 191 | Licensed under the Apache License, Version 2.0 (the "License"); 192 | you may not use this file except in compliance with the License. 193 | You may obtain a copy of the License at 194 | 195 | http://www.apache.org/licenses/LICENSE-2.0 196 | 197 | Unless required by applicable law or agreed to in writing, software 198 | distributed under the License is distributed on an "AS IS" BASIS, 199 | WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 200 | See the License for the specific language governing permissions and 201 | limitations under the License. 202 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # Automatic feature engineering using deep learning and Bayesian inference 2 | 3 | We will explore the use of autoencoders for automatic feature engineering. The idea is to automatically learn a set of features from a large unlabelled dataset that can then be useful in a supervised learning task where perhaps the number of labels are few. 4 | 5 | ### Python environment 6 | 7 | ``` 8 | pip3 install -r requirements.txt 9 | ``` 10 | -------------------------------------------------------------------------------- /VAE_Generated_Images.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hamaadshah/autoencoders_tensorflow/777b7ec8405d120e8707306e5b732a3213508207/VAE_Generated_Images.png -------------------------------------------------------------------------------- /autoencoders_plot.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hamaadshah/autoencoders_tensorflow/777b7ec8405d120e8707306e5b732a3213508207/autoencoders_plot.png -------------------------------------------------------------------------------- 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-------------------------------------------------------------------------------- /requirements.txt: -------------------------------------------------------------------------------- 1 | absl-py==0.9.0 2 | appdirs==1.4.3 3 | apturl==0.5.2 4 | astunparse==1.6.2 5 | atomicwrites==1.1.5 6 | attrs==19.3.0 7 | backcall==0.1.0 8 | bcrypt==3.1.7 9 | beautifulsoup4==4.8.2 10 | black==20.8b1 11 | bleach==3.1.1 12 | blinker==1.4 13 | blosc==1.7.0 14 | Brlapi==0.7.0 15 | cachetools==4.0.0 16 | caffe==1.0.0 17 | certifi==2019.11.28 18 | cffi==1.14.0 19 | chardet==3.0.4 20 | click==7.1.2 21 | cloudpickle==1.3.0 22 | colorama==0.4.3 23 | command-not-found==0.3 24 | cryptography==2.8 25 | cupshelpers==1.0 26 | cycler==0.10.0 27 | Cython==0.29.14 28 | dask==2.8.1+dfsg 29 | dbus-python==1.2.16 30 | decorator==4.4.2 31 | defer==1.0.6 32 | defusedxml==0.6.0 33 | descartes==1.1.0 34 | dill==0.3.1.1 35 | distlib==0.3.0 36 | distro==1.4.0 37 | distro-info===0.23ubuntu1 38 | duplicity==0.8.12.0 39 | entrypoints==0.3 40 | et-xmlfile==1.0.1 41 | fasteners==0.14.1 42 | filelock==3.0.12 43 | flake8==3.7.9 44 | fsspec==0.6.1 45 | future==0.18.2 46 | gast==0.3.3 47 | google-auth==1.5.1 48 | google-auth-oauthlib==0.4.1 49 | google-pasta==0.2.0 50 | grpcio==1.29.1 51 | h5py==2.10.0 52 | html5lib==1.0.1 53 | httplib2==0.14.0 54 | idna==2.8 55 | imageio==2.4.1 56 | importlib-metadata==1.5.0 57 | ipykernel==5.2.0 58 | ipython==7.13.0 59 | ipython-genutils==0.2.0 60 | ipywidgets==6.0.0 61 | jdcal==1.0 62 | jedi==0.15.2 63 | Jinja2==2.10.1 64 | joblib==0.14.0 65 | jsonschema==3.2.0 66 | jupyter-client==6.1.2 67 | jupyter-console==6.0.0 68 | jupyter-contrib-core==0.3.3 69 | jupyter-contrib-nbextensions==0.5.1 70 | jupyter-core==4.6.3 71 | jupyter-highlight-selected-word==0.2.0 72 | jupyter-latex-envs==1.4.6 73 | jupyter-nbextensions-configurator==0.4.1 74 | Keras==2.3.1 75 | Keras-Applications==1.0.8 76 | Keras-Preprocessing==1.1.2 77 | keyring==18.0.1 78 | kiwisolver==1.0.1 79 | language-selector==0.1 80 | launchpadlib==1.10.13 81 | lazr.restfulclient==0.14.2 82 | lazr.uri==1.0.3 83 | locket==0.2.0 84 | lockfile==0.12.2 85 | louis==3.12.0 86 | lxml==4.5.0 87 | macaroonbakery==1.3.1 88 | Mako==1.1.0 89 | Markdown==3.1.1 90 | MarkupSafe==1.1.0 91 | matplotlib==3.1.2 92 | mccabe==0.6.1 93 | mistune==0.8.4 94 | mizani==0.7.1 95 | monotonic==1.5 96 | more-itertools==4.2.0 97 | mpi4py==3.0.3 98 | mypy-extensions==0.4.3 99 | nb-black==1.0.7 100 | nbconvert==5.6.1 101 | nbformat==5.0.4 102 | netifaces==0.10.4 103 | networkx==2.4 104 | nose==1.3.7 105 | notebook==6.0.3 106 | numexpr==2.7.1 107 | numpy==1.17.4 108 | nvidia-ml-py==7.352.0 109 | oauthlib==3.1.0 110 | olefile==0.46 111 | openpyxl==3.0.3 112 | opt-einsum==3.2.1 113 | packaging==20.3 114 | palettable==3.3.0 115 | pandas==1.1.3 116 | pandocfilters==1.4.2 117 | parameterized==0.7.0 118 | paramiko==2.6.0 119 | parso==0.5.2 120 | partd==1.0.0 121 | pathspec==0.8.0 122 | patsy==0.5.1 123 | pexpect==4.6.0 124 | pickleshare==0.7.5 125 | Pillow==7.0.0 126 | plotnine==0.7.1 127 | pluggy==0.13.0 128 | ply==3.11 129 | prometheus-client==0.7.1 130 | prompt-toolkit==2.0.10 131 | protobuf==3.11.4 132 | psutil==5.5.1 133 | py==1.8.1 134 | pyasn1==0.4.2 135 | pyasn1-modules==0.2.1 136 | pycairo==1.16.2 137 | pycodestyle==2.5.0 138 | pycparser==2.19 139 | pycuda==2019.1.2 140 | pycups==1.9.73 141 | pydot==1.4.1 142 | pyflakes==2.1.1 143 | Pygments==2.3.1 144 | PyGObject==3.36.0 145 | pygpu==0.7.6 146 | pyinotify==0.9.6 147 | PyJWT==1.7.1 148 | pymacaroons==0.13.0 149 | PyNaCl==1.3.0 150 | pyOpenSSL==19.0.0 151 | pyparsing==2.4.6 152 | pyRFC3339==1.1 153 | pyrsistent==0.15.5 154 | pytest==4.6.9 155 | python-apt==2.0.0+ubuntu0.20.4.1 156 | python-dateutil==2.7.3 157 | python-debian===0.1.36ubuntu1 158 | pytools==2019.1.1 159 | pytz==2019.3 160 | PyWavelets==0.5.1 161 | pyxdg==0.26 162 | PyYAML==5.3.1 163 | pyzmq==18.1.1 164 | regex==2020.10.15 165 | reportlab==3.5.34 166 | requests==2.22.0 167 | requests-oauthlib==1.0.0 168 | requests-unixsocket==0.2.0 169 | rsa==4.0 170 | scikit-cuda==0.5.3 171 | scikit-image==0.16.2 172 | scikit-learn==0.22.2.post1 173 | scipy==1.3.3 174 | screen-resolution-extra==0.0.0 175 | SecretStorage==2.3.1 176 | Send2Trash==1.5.0 177 | simplejson==3.16.0 178 | six==1.14.0 179 | soupsieve==1.9.5 180 | statsmodels==0.12.0 181 | systemd-python==234 182 | tables==3.6.1 183 | tblib==1.6.0 184 | tensorboard==2.3.0 185 | tensorflow-addons==0.11.2 186 | tensorflow-estimator==2.3.0 187 | tensorflow-gpu==2.3.0 188 | termcolor==1.1.0 189 | terminado==0.8.2 190 | testpath==0.4.4 191 | Theano==1.0.4 192 | toml==0.10.1 193 | toolz==0.9.0 194 | torch==1.6.0 195 | torchvision==0.7.0 196 | tornado==5.1.1 197 | traitlets==4.3.3 198 | typed-ast==1.4.1 199 | typeguard==2.10.0 200 | typing-extensions==3.7.4.3 201 | ubuntu-advantage-tools==20.3 202 | ubuntu-drivers-common==0.0.0 203 | ufw==0.36 204 | unattended-upgrades==0.1 205 | urllib3==1.25.8 206 | usb-creator==0.3.7 207 | virtualenv==20.0.17 208 | wadllib==1.3.3 209 | wcwidth==0.1.8 210 | webencodings==0.5.1 211 | Werkzeug==0.16.1 212 | widgetsnbextension==2.0.0 213 | wrapt==1.11.2 214 | xkit==0.0.0 215 | xlrd==1.1.0 216 | xlwt==1.3.0 217 | zipp==1.0.0 218 | -------------------------------------------------------------------------------- /seq2seq_autoencoders_plot.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hamaadshah/autoencoders_tensorflow/777b7ec8405d120e8707306e5b732a3213508207/seq2seq_autoencoders_plot.png -------------------------------------------------------------------------------- /variational_autoencoders_plot.png: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/hamaadshah/autoencoders_tensorflow/777b7ec8405d120e8707306e5b732a3213508207/variational_autoencoders_plot.png 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