habitat-sim
bootcamp
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| habitat-sim | bootcamp | |
|---|---|---|
| 5 | 24 | |
| 2,343 | 1,599 | |
| 2.6% | 2.4% | |
| 8.8 | 9.1 | |
| 5 days ago | 10 days ago | |
| C++ | HTML | |
| MIT License | Apache License 2.0 |
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.
habitat-sim
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[D] Looking for open source projects to contribute
There are plenty of them out there. I spend a lot of time contributing to open source projects like Habitat-Sim https://github.com/facebookresearch/habitat-sim and Habitat-Lab https://github.com/facebookresearch/habitat-lab which have a ton of open issues and code maintaince stuff that we would welcome contributions of.
bootcamp
- FLaNK AI - 01 April 2024
- FLaNK Stack Weekly 22 January 2024
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Build a search engine, not a vector DB
Partially agree.
Vector DBs are critical components in retrieval systems. What most applications need are retrieval systems, rather than building blocks of retrieval systems. That doesn't mean the building blocks are not important.
As someone working on vector DB, I find many users struggling in building their own retrieval systems with building blocks such as embedding service (openai,cohere), logic orchestration framework (langchain/llamaindex) and vector databases, some even with reranker models. Putting them together is not as easy as it looks. A fairly changeling system work. Letting alone quality tuning and devops.
The struggle is no surprise to me, as tech companies who are experts on this (google,meta) all have dedicated teams working on retrieval system alone, making tons of optimizations and develop a whole feedback loop of evaluating and improving the quality. Most developers don't get access to such resource.
No one size fits all. I think there shall exist a service that democratize AI-powered retrieval, in simple words the know-how of using embedding+vectordb and a bunch of tricks to achieve SOTA retrieval quality.
With this idea I built a Retrieval-as-a-service solution, and here is its demo:
https://github.com/milvus-io/bootcamp/blob/master/bootcamp/R...
Curious to learn your thoughts.
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[D] Looking for open source projects to contribute
For more beginner tasks associated with the Milvus vector database, you can contribute to the Bootcamp project( https://github.com/milvus-io/bootcamp), where we build a lot of data-driven solutions using ML and Milvus vector database, including reverse image search, recommender systems, etc.
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I built an image similarity search system... Suggestions needed: what are some fun image datasets or scenarios I can use with this? :)
Source code here: https://github.com/milvus-io/bootcamp/tree/master/solutions/reverse_image_search
- Faiss: Facebook's open source vector search library
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im trying to learn how to code and i find it extremely difficult
Now, maintainer of a similarity search solution project: https://github.com/milvus-io/bootcamp and a contributor to Milvus vector DB project: https://github.com/milvus-io/milvus.
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I built a molecular structure similarity search application including an interactive demo! Come check it out!! :)
Here is the link to the project.
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Sunday Daily Thread: What's everyone working on this week?
Working on a new solution for my open source project!! Bootcamp (https://github.com/milvus-io/bootcamp) is an open source project that aims to find a similarity search solution for all kinds of unstructured data.
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Search images by an image! Check out our project (with online demo)! #reverse-image-search
Source code here! Deploy a reverse image search engine with ImageNet or your own dataset: https://github.com/milvus-io/bootcamp/tree/master/solutions/reverse_image_search
What are some alternatives?
gazebo-classic - Gazebo classic. For the latest version, see https://github.com/gazebosim/gz-sim
carla - Open-source simulator for autonomous driving research.
Milvus - A cloud-native vector database, storage for next generation AI applications
google-research - Google Research
docarray - Represent, send, store and search multimodal data
es-clip-image-search - Sample implementation of natural language image search with OpenAI's CLIP and Elasticsearch or Opensearch.
annoy - Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
habitat-lab - A modular high-level library to train embodied AI agents across a variety of tasks and environments.
redtail - Perception and AI components for autonomous mobile robotics.