|7 days ago||about 1 month ago|
|GNU General Public License v3.0 or later||GNU General Public License v3.0 or later|
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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.
The Transformer in Machine Translation
1 project | reddit.com/r/MindSporeOSS | 13 Jan 2022
GitHub's article on Dive into Deep Learning
1 project | news.ycombinator.com | 4 Jan 2022
I created a way to learn machine learning through Jupyter
2 projects | reddit.com/r/learnmachinelearning | 30 Apr 2021
There are actually some online books and courses built on Jupyter Notebook ([Dive to Deep Learning Book](https://github.com/d2l-ai/d2l-en) for example). However yours is more detail and could really helps beginners.
I trained a neural network on every town and village name in England and then made a website that lets you generate them
2 projects | reddit.com/r/unitedkingdom | 30 Aug 2021
This is an utterly fantastic question but I actually don't understand much about neural nets at all, and am just using a prebuilt python library is basically text based neural nets for idiots (https://github.com/minimaxir/textgenrnn) Happy to share data though if you want to find this out and would know how?
The Office - an episode generated by NN
1 project | reddit.com/r/DunderMifflin | 28 Jun 2021
Python package: Textgenrnn
makeitmetal.net - A metal band name generator using Python/Tensorflow
2 projects | reddit.com/r/Python | 1 Jun 2021
I started off with the model from textgenrnn, which is an RNN with LSTM layers. I'm not an expert on deep learning or different model architectures, and textgenrnn is a great starting point because you can use pretrained weights as a starting point for your model. I tweaked the model architecture slightly to allow multiple context labels, but most of the work on this project was porting the model to TensorFlow.js so it could run in the browser once I'd trained it in Python.
What's wrong with my import?
2 projects | reddit.com/r/learnpython | 3 May 2021
Is it installed? https://github.com/minimaxir/textgenrnn#usage2 projects | reddit.com/r/learnpython | 3 May 2021
Using: This library
What are some alternatives?
Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images
deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
ScanRefer - [ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
ssd_keras - A Keras port of Single Shot MultiBox Detector
imbalanced-regression - [ICML 2021, Long Talk] Delving into Deep Imbalanced Regression
petastorm - Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
gpt-2-simple - Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
DeepCamera - AI Face Recognition/Person Detection NVR. Machine Learning On The Edge, turn your Camera into AI-powered with Jetson Nano and telegram to protect your privacy.
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects