mss-thesis
lightning-bolts
Our great sponsors
| mss-thesis | lightning-bolts | |
|---|---|---|
| 1 | 3 | |
| 9 | 1,640 | |
| - | 1.4% | |
| 0.0 | 7.5 | |
| about 3 years ago | 21 days ago | |
| Python | Python | |
| - | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
mss-thesis
-
Project Idea For DSP and entry level Machine Learning
Shameless plug of my thesis’ source code :) : https://github.com/georgetz15/mss-thesis
lightning-bolts
-
Question about implementing RL algorithms
In the lightning-bolts repository, they implement the different RL algorithms, such as PPO and DQN, as different models. Would it make more sense to have the different algorithms be the Trainer instead? Inside each of the implementations, the model creates the same neural network with different training steps.
-
[P] An elegant and strong PyTorch Trainer
This is also how lightning bolts tend to be defined: for example, you have https://github.com/Lightning-AI/lightning-bolts/blob/master/pl_bolts/models/rl/advantage_actor_critic_model.py for A3C, which itself is only the loss and training wrapper around the normal modules for critic and actor (see https://github.com/Lightning-AI/lightning-bolts/blob/52e4c503c671f4866339c1537cf6ae506e7c5cf5/pl_bolts/models/rl/common/networks.py#L147=)
-
[D] How to organize deep learning projects on Github ?
Also PyTorch Lighting gives example in this repo https://github.com/PyTorchLightning/pytorch-lightning-bolts
What are some alternatives?
nussl - A flexible source separation library in Python
Kedro - Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
unmixer - Create and explore isolated tracks from music files
detectron2 - Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
uis-rnn - This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
cookiecutter-pytorch - A Cookiecutter template for PyTorch Deep Learning projects.
thinc - đź”® A refreshing functional take on deep learning, compatible with your favorite libraries
haystack - :mag: LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.
PanelCleaner - An AI-powered tool to clean manga panels.