Awesome Metric Learning The Metric Learning approach to data science problems is heavily underutilized. There are a lot of academic research papers around it but much fewer practical guides and tutorials. So we decided that we could help people adopt metric learning by collecting related materials in one place. We are publishing a curated list of awesome practical metric learning tools, libraries, and materials - https://github.com/qdrant/awesome-metric-learning! This collection aims to put together references to all relevant materials for building your application using Metric Learning. If you know some exciting article, helpful tool, or a blog post that helped you apply metric learning - feel free to PR your proposal!
Awesome Metric Learning The Metric Learning approach to data science problems is heavily underutilized. There are a lot of academic research papers around it but much fewer practical guides and tutorials. So we decided that we could help people adopt metric learning by collecting related materials in one place. We are publishing a curated list of awesome practical metric learning tools, libraries, and materials - https://github.com/qdrant/awesome-metric-learning! This collection aims to put together references to all relevant materials for building your application using Metric Learning. If you know some exciting article, helpful tool, or a blog post that helped you apply metric learning - feel free to PR your proposal!
Some messages aren’t supposed to last forever. There are some Telegram groups and conversations where it’s best if messages are automatically deleted in a day or a week. Here’s how to auto-delete messages in any Telegram chat. You can enable the auto-delete feature on a per-chat basis. It works for both one-on-one conversations and group chats. Previously, you needed to use the Secret Chat feature to automatically delete messages after a set time. At the time of writing, you can choose to automatically delete messages after a day or a week. Telegram starts the timer once they are sent, not after they are read. This won’t affect the messages that were sent before enabling the feature.
Importantly, that investor viewpoint is not new. It cycles in when conditions are right (and vice versa). It also brings the ineffective warnings of an overpriced market with it.Looking toward a good 2022 stock market, there is no apparent reason to expect these issues to change.
