|7 days ago||4 months ago|
|GNU General Public License v3.0 or later||GNU General Public License v3.0 or later|
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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.
Want to use synthetic data, but don't want to deal with domain gap?
Check out the extended version of our ICRA 2021 talk for Learning Topology from Synthetic Data for Unsupervised Depth Completion:
For those interested, here are our source code with pretrained mdoels (it is light-weight so it runs on your local machine!) and arxiv version of our paper.
Here are some of the reconstructions produced by our method:
[N][R] Want to leverage synthetic data for 3d reconstruction, but don't want to deal with the photometric domain gap? (ICRA 2021 talk)
2 projects | reddit.com/r/MachineLearning | 22 Sep 2021
Code for https://arxiv.org/abs/2106.02994 found: https://github.com/alexklwong/learning-topology-synthetic-data2 projects | reddit.com/r/MachineLearning | 22 Sep 2021
TLDR: Here is a gif showing an overview of our approach
What are some alternatives?
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DeepADoTS - Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".
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ScanRefer - [ECCV 2020] ScanRefer: 3D Object Localization in RGB-D Scans using Natural Language
ssd_keras - A Keras port of Single Shot MultiBox Detector
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.
TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle
einops - Deep learning operations reinvented (for pytorch, tensorflow, jax and others)
99-ML-Learning-Projects - A list of 99 machine learning projects for anyone interested to learn from coding and building projects
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textgenrnn - Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
kaggle-solutions - 🏅 Collection of Kaggle Solutions and Ideas 🏅