d2l-en VS textgenrnn

Compare d2l-en vs textgenrnn and see what are their differences.

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. (by d2l-ai)

textgenrnn

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code. (by minimaxir)
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d2l-en textgenrnn
6 7
21,335 4,935
3.0% -
8.7 0.0
12 days ago over 1 year ago
Python Python
GNU General Public License v3.0 or later GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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d2l-en

Posts with mentions or reviews of d2l-en. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-10.

textgenrnn

Posts with mentions or reviews of textgenrnn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-30.

What are some alternatives?

When comparing d2l-en and textgenrnn you can also consider the following projects:

gpt-2-simple - Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

Pytorch-UNet - PyTorch implementation of the U-Net for image semantic segmentation with high quality images

DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle

99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects

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.

ssd_keras - A Keras port of Single Shot MultiBox Detector

einops - Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)

learning-topology-synthetic-data - Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

ScanRefer - [ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language