StyleTTS 2
Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
https://github.com/yl4579/StyleTTS2
Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
https://github.com/yl4579/StyleTTS2
GitHub
GitHub - yl4579/StyleTTS2: StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with…
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models - yl4579/StyleTTS2
Inserting data via the PostgREST API using Python
https://www.dataroc.ca/blog/inserting-data-via-the-postgrest-api-using-python
https://www.dataroc.ca/blog/inserting-data-via-the-postgrest-api-using-python
www.dataroc.ca
Inserting data via the PostgREST API using Python
Explore secure data writing with PostgREST API in this insightful post — essential tools powering updates on my dynamic portfolio page.
AIConfig
Config-driven, source control friendly AI application development.
https://github.com/lastmile-ai/aiconfig
Config-driven, source control friendly AI application development.
https://github.com/lastmile-ai/aiconfig
GitHub
GitHub - lastmile-ai/aiconfig: AIConfig is a config-based framework to build generative AI applications.
AIConfig is a config-based framework to build generative AI applications. - lastmile-ai/aiconfig
NeumAI
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
https://github.com/NeumTry/NeumAI
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale.
https://github.com/NeumTry/NeumAI
GitHub
GitHub - NeumTry/NeumAI: Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at…
Neum AI is a best-in-class framework to manage the creation and synchronization of vector embeddings at large scale. - NeumTry/NeumAI
pytest-patterns
pytest-patterns is a plugin for pytest that provides a pattern matching engine optimized for testing.
https://github.com/flyingcircusio/pytest-patterns
pytest-patterns is a plugin for pytest that provides a pattern matching engine optimized for testing.
https://github.com/flyingcircusio/pytest-patterns
GitHub
GitHub - flyingcircusio/pytest-patterns: pytest-patterns is a plugin for pytest that provides a pattern matching engine optimized…
pytest-patterns is a plugin for pytest that provides a pattern matching engine optimized for testing. - GitHub - flyingcircusio/pytest-patterns: pytest-patterns is a plugin for pytest that provides...
Let's Code an AI Search Engine with LLM Embeddings, Django, and pgvector
Large Language Models (LLMs) can be leveraged for business applications, such as content matching and job search. William Huster demonstrates how to build a prototype application that utilizes LLMs for job search.
https://www.youtube.com/watch?v=OPy4dLHdZng
Large Language Models (LLMs) can be leveraged for business applications, such as content matching and job search. William Huster demonstrates how to build a prototype application that utilizes LLMs for job search.
https://www.youtube.com/watch?v=OPy4dLHdZng
YouTube
Let's Code an AI Search Engine with LLM Embeddings, Django, and pgvector
This is the long-form version of the original video: https://www.youtube.com/watch?v=ZCPUmC37HLU
A lot of people have asked us for ideas of how they can leverage Large Language Models (LLMs) for their business applications. A common example is to use the…
A lot of people have asked us for ideas of how they can leverage Large Language Models (LLMs) for their business applications. A common example is to use the…
Python 3.12 Generic Types Explained
This video explores how generic types in Python 3.12 work, and what the advantage is over just using the Any types.
https://www.youtube.com/watch?v=q6ujWWaRdbA
This video explores how generic types in Python 3.12 work, and what the advantage is over just using the Any types.
https://www.youtube.com/watch?v=q6ujWWaRdbA
YouTube
Python 3.12 Generic Types Explained
👷 Review code better and faster with my 3-Factor Framework: https://arjan.codes/diagnosis.
In this video, I’m going to explore how generic types in Python 3.12 work, and what the advantage is over just using the Any types.
GitHub repo: https://git.arja…
In this video, I’m going to explore how generic types in Python 3.12 work, and what the advantage is over just using the Any types.
GitHub repo: https://git.arja…
Azure-Samples / chat-with-your-data-solution-accelerator
A Solution Accelerator for the RAG pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator
A Solution Accelerator for the RAG pattern running in Azure, using Azure Cognitive Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This includes most common requirements and best practices.
https://github.com/Azure-Samples/chat-with-your-data-solution-accelerator
GitHub
GitHub - Azure-Samples/chat-with-your-data-solution-accelerator: A Solution Accelerator for the RAG pattern running in Azure, using…
A Solution Accelerator for the RAG pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences. This incl...
Building a Neural Network with PyTorch
Building your first neural network could seem like a formidable undertaking, but deep learning frameworks like PyTorch have made the task more accessible than ever. This article explains how to build a neural network using PyTorch.
https://haydenjames.io/building-a-neural-network-with-pytorch/
Building your first neural network could seem like a formidable undertaking, but deep learning frameworks like PyTorch have made the task more accessible than ever. This article explains how to build a neural network using PyTorch.
https://haydenjames.io/building-a-neural-network-with-pytorch/
LinuxBlog.io
Building a Neural Network with PyTorch
Building your first neural network could seem like a formidable undertaking, but deep learning frameworks like PyTorch have made the task more accessible
The Categories of Bugs in Python Apps
When writing a Python program, errors are inevitable. However, we can manage the types of errors we produce. Let’s explore a simple model categorizing these errors, from best to worst, and discuss how mindful tool usage can improve software quality.
https://threeofwands.com/the-types-of-errors-in-python-apps/
When writing a Python program, errors are inevitable. However, we can manage the types of errors we produce. Let’s explore a simple model categorizing these errors, from best to worst, and discuss how mindful tool usage can improve software quality.
https://threeofwands.com/the-types-of-errors-in-python-apps/
The Three of Wands
The Categories of Bugs in Python Apps
Say you're writing a Python program, of any kind but maybe a network service. You're likely to err (you're human, after all) and produce errors (bugs, defects) during this process. We can't control whether we make mistakes or not but there are steps we can…
Generative AI for Beginners
A 12 Lesson course teaching everything you need to know to start building Generative AI applications.
https://microsoft.github.io/generative-ai-for-beginners/
A 12 Lesson course teaching everything you need to know to start building Generative AI applications.
https://microsoft.github.io/generative-ai-for-beginners/
microsoft.github.io
Generative AI for Beginners
Description
self-operating-computer
A framework to enable multimodal models to operate a computer.
https://github.com/OthersideAI/self-operating-computer
A framework to enable multimodal models to operate a computer.
https://github.com/OthersideAI/self-operating-computer
GitHub
GitHub - OthersideAI/self-operating-computer: A framework to enable multimodal models to operate a computer.
A framework to enable multimodal models to operate a computer. - OthersideAI/self-operating-computer
AILab-CVC / VideoCrafter
VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
https://github.com/AILab-CVC/VideoCrafter
VideoCrafter1: Open Diffusion Models for High-Quality Video Generation
https://github.com/AILab-CVC/VideoCrafter
GitHub
GitHub - AILab-CVC/VideoCrafter: VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models
VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models - AILab-CVC/VideoCrafter
yerfor / GeneFace
GeneFace: Generalized and High-Fidelity 3D Talking Face Synthesis; ICLR 2023; Official code
https://github.com/yerfor/GeneFace
GeneFace: Generalized and High-Fidelity 3D Talking Face Synthesis; ICLR 2023; Official code
https://github.com/yerfor/GeneFace
GitHub
GitHub - yerfor/GeneFace: GeneFace: Generalized and High-Fidelity 3D Talking Face Synthesis; ICLR 2023; Official code
GeneFace: Generalized and High-Fidelity 3D Talking Face Synthesis; ICLR 2023; Official code - yerfor/GeneFace
apple-home-key-reader
This project offers a demonstration of an Apple Home Key Reader built in Python.
https://github.com/kormax/apple-home-key-reader
This project offers a demonstration of an Apple Home Key Reader built in Python.
https://github.com/kormax/apple-home-key-reader
GitHub
GitHub - kormax/apple-home-key-reader: Apple Home Key Reader Implementation
Apple Home Key Reader Implementation. Contribute to kormax/apple-home-key-reader development by creating an account on GitHub.