Skip to main content

A deep and machine learning library. Made for learning purposes and ease of understanding.

Project description

DLL (Deep Learning Library)

DLL is a deep learning library inspired by TensorFlow and PyTorch. This is my largest project to date, featuring thousands of lines of code. It encompasses a wide range of deep learning and machine learning methods, and includes numerous examples and tests to demonstrate their usage. Feel free to explore the source code and experiment with the models using the documentation.

Documentation:

Checkout the documentation of DLL here.

Upcoming topics:

  • embedding layer
  • concatenate layer
  • multi headed cross attention
  • hyperparameter tuning with grid search and random search
  • multiclass classification with OvO and OvR

Running Tests

To run the tests, navigate to the deep-learning-library-folder and use eg. the following command:

python -m Tests.ReinforcementLearning.DeepReinforcementLearning

Feel free to explore the code and apply it to new problems!

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pydllib-1.0.tar.gz (91.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

pydllib-1.0-py3-none-any.whl (181.9 kB view details)

Uploaded Python 3

File details

Details for the file pydllib-1.0.tar.gz.

File metadata

  • Download URL: pydllib-1.0.tar.gz
  • Upload date:
  • Size: 91.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for pydllib-1.0.tar.gz
Algorithm Hash digest
SHA256 f1fe35d9a3a2e84cbc19a88a8c38329c8893e17218c4eaae8c7210d489670139
MD5 65738ef992a0d00fdf29fb0ccf289ff8
BLAKE2b-256 d01a4ffca0a73c0395f3a984238b40552c6f8f96649ab0f9bf359d5e59760d32

See more details on using hashes here.

File details

Details for the file pydllib-1.0-py3-none-any.whl.

File metadata

  • Download URL: pydllib-1.0-py3-none-any.whl
  • Upload date:
  • Size: 181.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.9

File hashes

Hashes for pydllib-1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 17baefa03e897c5f47e76268ef370f4097dc4835caa4399df88e9f78d081e032
MD5 f28cb98b28b278aca3e1bf5ace2e1eac
BLAKE2b-256 1a653aa49a01582c7fd14d5d8264300e7833ab81721d1d236ed46095a898a8a0

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page