diff --git a/docs/experiments.org b/docs/experiments.org
deleted file mode 100644
index edad193..0000000
--- a/docs/experiments.org
+++ /dev/null
@@ -1,72 +0,0 @@
-#+TITLE: Tensorflow experiments
-#+AUTHOR: Amin Kasrou Aouam
-#+PROPERTY: header-args :session poetry-session
-* Experiments
-
-#+begin_src elisp :results silent
-(pyvenv-activate "~/.cache/pypoetry/virtualenvs/locimend-hM_4JND0-py3.8/")
-#+end_src
-
-In this notebook we'll extract knowledge from our generated dataset. First, let's import our dependencies:
-
-#+begin_src python
-from tensorflow_io import genome
-#+end_src
-
-#+RESULTS:
-: 2021-05-06 20:41:53.592058: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory; LD_LIBRARY_PATH: /nix/store/9ilyrqidrjbqvmnn8ykjc7lygdd86g7q-gcc-10.2.0-lib/lib:
-: 2021-05-06 20:41:53.592101: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
-
-
-Tensorflow I/O is an extension that contains a module for genome parsing, we'll use it to import the sequences contained in our FASTQ files:
-
-#+begin_src python :results silent
-def parse_data(filepath):
-    HVR = genome.read_fastq(filename=filepath)
-    return HVR.sequences, HVR.raw_quality
-#+end_src
-
-Let's import both the immuneSIM generated HVR dataset and the CuReSim processed one, which contains sequencing errors (mostly indels):
-
-#+begin_src python
-original_HVR, _ = parse_data("../data/HVR.fastq")
-processed_HVR, _ = parse_data("../data/CuReSim-HVR.fastq")
-print(original_HVR)
-print(processed_HVR)
-#+end_src
-
-#+RESULTS:
-#+begin_example
-tf.Tensor(
-[b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
- b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
- b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
- b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
- b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
- b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
- b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
- b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
- b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'
- b'TGTGCCAGCAGCTTAACCATCGGACGCAGTACTTCGGGCCAGGCACGCGGCTCCTGG'], shape=(10,), dtype=string)
-tf.Tensor(
-[b'GCGCCAGCAGCTATTGGATATGGACTAGCTACTC'
- b'TGTGCCAGCAGTGATGTGGTGACATGGGTGCGTAGCAATCAGCCAGCATG'
- b'GCGCCAGCAGCTTGGATAGGACTAGCTACTT'
- b'TGTGCCAGCAGTGAATGGGTGACAGGGTGCGTAGCATCAGCCCCAGCATTT'
- b'TTGCGCAGCAGCTTGGATAGGACTAGCTACTT'
- b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'
- b'TTGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
- b'TGTGCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'
- b'TGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
- b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCAGCATTT'
- b'TTGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
- b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'
- b'TGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
- b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'
- b'TGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
- b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'
- b'TGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
- b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'
- b'TGCGCCAGCAGCTTGGATAGGACTAGCTACTT'
- b'TGTGCCAGCAGTGAATGGGGACAGGGGCGTAGCAATCAGCCCCAGCATTT'], shape=(20,), dtype=string)
-#+end_example