resemble-enhance
qdrant
resemble-enhance | qdrant | |
---|---|---|
3 | 142 | |
942 | 18,219 | |
10.5% | 4.8% | |
5.0 | 9.9 | |
5 days ago | 1 day ago | |
Python | Rust | |
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.
resemble-enhance
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Ask HN: Who is hiring? (February 2024)
Resemble AI | San Francisco Bay Area (office in Santa Clara, CA) | Full-Time | Full-Stack Engineer, Frontend Engineer, Product Designer
Resemble AI creates high-quality synthetic voices that capture human emotion. We're a venture-backed high-growth startup that's looking to shake up an entire industry with state of the art AI. Our product changes the way that thousands of brands, media companies, creative agencies, and game studios create speech content. We believe that to build an enticing product and solid team is by encouraging innovation is by enabling continuous education. That's why every Friday is a day that you can use to work on anything you want, Resemble-related or not.
Recently, we open sourced a state of the art speech enhancement model: https://github.com/resemble-ai/resemble-enhance
We're hiring for three roles:
Full Stack Engineer - Can you break the entire stack? You're the right person for this job. Work on our Rails app, with sprinkles of React, and Python for the deep learning. Everything is dockerized, and we use Kubernetes to deploy.
Frontend Engineer - We're hiring a Frontend Engineer proficient in React, TypeScript, and Ruby on Rails to shape our user experience. Join our team to develop user-friendly interfaces and collaborate on building exceptional web experiences.
Product Designer - As a Product Designer, you will lead the end-to-end design process, from concept to implementation, ensuring a seamless and delightful user experience. You will collaborate with cross-functional teams to define product vision, conduct user research, create visually compelling interfaces, and develop interactive prototypes.
If interested, reach out directly to me: zohaib [at] resemble.ai
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Jarvis: A Voice Virtual Assistant in Python (OpenAI, ElevenLabs, Deepgram)
Check whether this can help https://github.com/resemble-ai/resemble-enhance/tree/main
- Open source speech denoising and enhancement AI Model
qdrant
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Hindi-Language AI Chatbot for Enterprises Using Qdrant, MLFlow, and LangChain
Great. Now that we have the embeddings, we need to store them in a vector database. We will be using Qdrant for this purpose. Qdrant is an open-source vector database that allows you to store and query high-dimensional vectors. The easiest way to get started with the Qdrant database is using the docker.
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Boost Your Code's Efficiency: Introducing Semantic Cache with Qdrant
I took Qdrant for this project. The reason was that Qdrant stands for high-performance vector search, the best choice against use cases like finding similar function calls based on semantic similarity. Qdrant is not only powerful but also scalable to support a variety of advanced search features that are greatly useful to nuanced caching mechanisms like ours.
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Ask HN: Has Anyone Trained a personal LLM using their personal notes?
I'm currently looking to implement locally, using QDrant [1] for instance.
I'm just playing around, but it makes sense to have a runnable example for our users at work too :) [2].
[1]. https://qdrant.tech/
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Show HN: A fast HNSW implementation in Rust
Also compare with qdrant's Rust implementation; they tout their performance. https://github.com/qdrant/qdrant/tree/master/lib/segment/src...
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pgvecto.rs alternatives - qdrant and Weaviate
3 projects | 13 Mar 2024
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Open-source Rust-based RAG
There are much better known examples, such as https://qdrant.tech/ and https://github.com/lancedb/lancedb
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Qdrant 1.8.0 - Major Performance Enhancements
For more information, see our release notes. Qdrant is an open source project. We welcome your contributions; raise issues, or contribute via pull requests!
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Perform Image-Driven Reverse Image Search on E-Commerce Sites with ImageBind and Qdrant
Initialize the Qdrant Client with in-memory storage. The collection name will be “imagebind_data” and we will be using cosine distance.
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7 Vector Databases Every Developer Should Know!
Qdrant is an open-source vector search engine optimized for performance and flexibility. It supports both exact and approximate nearest neighbor search, providing a balance between accuracy and speed for various AI and ML applications.
- Ask HN: Who is hiring? (February 2024)
What are some alternatives?
whisper.cpp - Port of OpenAI's Whisper model in C/C++
Milvus - A cloud-native vector database, storage for next generation AI applications
putting-the-you-in-cpu - A technical explainer by @kognise of how your computer runs programs, from start to finish.
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
JARVIS - Your own personal voice assistant: Voice to Text to LLM to Speech, displayed in a web interface
faiss - A library for efficient similarity search and clustering of dense vectors.
Wave-U-Net-for-Speech-Enhancement - Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.
pgvector - Open-source vector similarity search for Postgres
Python-ai-assistant - Python AI assistant 🧠
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
towhee - Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
vespa - AI + Data, online. https://vespa.ai