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update requirements.txt
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ngxbac committed Oct 6, 2019
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11 changes: 11 additions & 0 deletions README.md
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This repository is used for Recursion Cellular Image Classification.
The writeup can be found in [here](https://www.kaggle.com/c/recursion-cellular-image-classification/discussion/110337)


Below you can find a outline of how to reproduce my solution for the <Competition Name> competition.
If you run into any trouble with the setup/code or have any questions please contact me at <ngxbac.dt@gmail.com>

The pipeline of this repository is shown as bellows
![Pipeline](images/pipeline.png)

Expand All @@ -11,6 +15,13 @@ There are 3 main parts:
* II. Continue fintuning models with image dataset which has 1108 siRNAs.
* III. Continue fintuning models with image dataset and pseudo labels.

# Hardware
DGX Workstation: 4 x V100 (16G)

# Software
Please check the `docker/Dockerfile`.
Besides, you can check `requirement.txt`


# Getting started
Thing you should know about the project.
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97 changes: 97 additions & 0 deletions requirements.txt
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albumentations==0.3.0
apex==0.1
asn1crypto==0.24.0
backcall==0.1.0
beautifulsoup4==4.7.1
catalyst==19.6.5
certifi==2019.3.9
cffi==1.12.3
chardet==3.0.4
Click==7.0
cloudpickle==1.2.2
cnn-finetune==0.5.3
conda==4.6.14
conda-build==3.17.8
crc32c==1.7
cryptography==2.6.1
cycler==0.10.0
decorator==4.4.0
filelock==3.0.10
future==0.17.1
glob2==0.6
gym==0.14.0
idna==2.8
imageio==2.5.0
imgaug==0.2.6
ipython==7.5.0
ipython-genutils==0.2.0
jedi==0.13.3
Jinja2==2.10.1
joblib==0.14.0
jsonpatch==1.24
jsonpointer==2.0
kiwisolver==1.1.0
libarchive-c==2.8
lief==0.9.0
lz4==2.2.1
MarkupSafe==1.1.1
matplotlib==3.1.1
mkl-fft==1.0.12
mkl-random==1.0.2
mock==3.0.5
munch==2.3.2
networkx==2.3
numpy==1.17.2
olefile==0.46
opencv-python==4.1.1.26
opencv-python-headless==4.1.1.26
pandas==0.25.1
parso==0.4.0
pexpect==4.7.0
pickleshare==0.7.5
Pillow==6.0.0
pkginfo==1.5.0.1
plotly==4.1.1
pretrainedmodels==0.7.4
prompt-toolkit==2.0.9
protobuf==3.10.0
psutil==5.6.2
ptyprocess==0.6.0
pyarrow==0.14.1
pycosat==0.6.3
pycparser==2.19
pyglet==1.3.2
Pygments==2.3.1
pymongo==3.9.0
pyOpenSSL==19.0.0
pyparsing==2.4.2
PySocks==1.6.8
python-dateutil==2.8.0
pytz==2019.1
PyWavelets==1.0.3
PyYAML==5.1
pyzmq==18.1.0
redis==3.3.8
requests==2.21.0
retrying==1.3.3
ruamel-yaml==0.15.46
safitty==1.2.5
scikit-image==0.15.0
scikit-learn==0.21.3
scipy==1.3.1
seaborn==0.9.0
six==1.12.0
soupsieve==1.8
tensorboardX==1.8
timm==0.1.14
torch==1.1.0
torchfile==0.1.0
torchnet==0.0.4
torchvision==0.2.2
tornado==6.0.3
tqdm==4.31.1
traitlets==4.3.2
urllib3==1.24.2
visdom==0.1.8.9
wcwidth==0.1.7
websocket-client==0.56.0

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