voca VS d2l-en

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

voca

This codebase demonstrates how to synthesize realistic 3D character animations given an arbitrary speech signal and a static character mesh. (by TimoBolkart)

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)
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voca d2l-en
1 6
1,106 21,858
- 2.0%
0.7 8.5
4 months ago 3 days ago
Python Python
- 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.
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.

voca

Posts with mentions or reviews of voca. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

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

anchorscad - A Python 3D modelling API for generating OpenSCAD source code. This library simplifies the creating of 3D models and contains a suite of completed models including Raspberry Pi cases and other models.

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

curated-list-of-awesome-3D-Morphable-Model-software-and-data - The idea of this list is to collect shared data and algorithms around 3D Morphable Models. You are invited to contribute to this list by adding a pull request. The original list arised from the Dagstuhl seminar on 3D Morphable Models https://www.dagstuhl.de/19102 in March 2019.

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

tree-gen - Procedural generation of tree models in blender

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

Im2txt - Image captioning ready-to-go inference: show and tell model compatible with Tensorflow r1.9

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.

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)