ok-robot
An open, modular framework for zero-shot, language conditioned pick-and-drop tasks in arbitrary homes.
https://github.com/ok-robot/ok-robot
An open, modular framework for zero-shot, language conditioned pick-and-drop tasks in arbitrary homes.
https://github.com/ok-robot/ok-robot
GitHub
GitHub - ok-robot/ok-robot: An open, modular framework for zero-shot, language conditioned pick-and-drop tasks in arbitrary homes.
An open, modular framework for zero-shot, language conditioned pick-and-drop tasks in arbitrary homes. - ok-robot/ok-robot
Graphinate. Data to Graphs.
Graphinate is a python library that aims to simplify the generation of Graph Data Structures from Data Sources.
https://github.com/erivlis/graphinate
Graphinate is a python library that aims to simplify the generation of Graph Data Structures from Data Sources.
https://github.com/erivlis/graphinate
GitHub
GitHub - erivlis/graphinate: Graphinate. Data to Graphs.
Graphinate. Data to Graphs. Contribute to erivlis/graphinate development by creating an account on GitHub.
NVIDIA / trt-llm-rag-windows
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM
https://github.com/NVIDIA/trt-llm-rag-windows
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM
https://github.com/NVIDIA/trt-llm-rag-windows
GitHub
GitHub - NVIDIA/ChatRTX: A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using…
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM - NVIDIA/ChatRTX
Machine Learning in 2024 – Beginner's Course
This machine learning course is created for beginners who are learning in 2024. The course begins with a Machine Learning Roadmap for 2024, emphasizing career paths and beginner-friendly theory. Then it the course moves on to hands-on practical applications and a comprehensive end-to-end project using Python.
https://www.youtube.com/watch?v=bmmQA8A-yUA
This machine learning course is created for beginners who are learning in 2024. The course begins with a Machine Learning Roadmap for 2024, emphasizing career paths and beginner-friendly theory. Then it the course moves on to hands-on practical applications and a comprehensive end-to-end project using Python.
https://www.youtube.com/watch?v=bmmQA8A-yUA
YouTube
Machine Learning in 2024 – Beginner's Course
This machine learning course is created for beginners who are learning in 2024. The course begins with a Machine Learning Roadmap for 2024, emphasizing career paths and beginner-friendly theory. Then it the course moves on to hands-on practical applications…
Building an LLM fine-tuning Dataset
The video shares insights on building a comprehensive dataset for AI model training using Reddit comments, highlighting challenges such as working with large datasets and filtering out low-quality comments. The creator discusses methods like loading, sorting, and filtering data to create training samples and models, emphasizing the abundance of comments available for analysis and the pro...
https://www.youtube.com/watch?v=pCX_3p40Efc
The video shares insights on building a comprehensive dataset for AI model training using Reddit comments, highlighting challenges such as working with large datasets and filtering out low-quality comments. The creator discusses methods like loading, sorting, and filtering data to create training samples and models, emphasizing the abundance of comments available for analysis and the pro...
https://www.youtube.com/watch?v=pCX_3p40Efc
YouTube
Building an LLM fine-tuning Dataset
Going through the building of a QLoRA fine-tuning dataset for a language model.
NVIDIA GTC signup: https://nvda.ws/3XTqlB6
Fine-tuning code: https://github.com/Sentdex/LLM-Finetuning
5000-step Walls1337bot adapter: https://huggingface.co/Sentdex/Walls1337bot…
NVIDIA GTC signup: https://nvda.ws/3XTqlB6
Fine-tuning code: https://github.com/Sentdex/LLM-Finetuning
5000-step Walls1337bot adapter: https://huggingface.co/Sentdex/Walls1337bot…
flect
A pure Python full-stack web apps framework inspired by Next.js.
https://github.com/Chaoyingz/flect
A pure Python full-stack web apps framework inspired by Next.js.
https://github.com/Chaoyingz/flect
GitHub
GitHub - Chaoyingz/flect: A full-stack framework that integrates FastAPI and React.
A full-stack framework that integrates FastAPI and React. - Chaoyingz/flect
Bonito
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
https://github.com/BatsResearch/bonito
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT.
https://github.com/BatsResearch/bonito
GitHub
GitHub - BatsResearch/bonito: A lightweight library for generating synthetic instruction tuning datasets for your data without…
A lightweight library for generating synthetic instruction tuning datasets for your data without GPT. - BatsResearch/bonito
Intro to DSPy: Goodbye Prompting, Hello Programming!
How the DSPy framework solves the fragility problem in LLM-based applications by replacing prompting with programming and compiling.
https://towardsdatascience.com/intro-to-dspy-goodbye-prompting-hello-programming-4ca1c6ce3eb9
How the DSPy framework solves the fragility problem in LLM-based applications by replacing prompting with programming and compiling.
https://towardsdatascience.com/intro-to-dspy-goodbye-prompting-hello-programming-4ca1c6ce3eb9
Towards Data Science
Intro to DSPy: Goodbye Prompting, Hello Programming! | Towards Data Science
How the DSPy framework solves the fragility problem in LLM-based applications by replacing prompting with programming and compiling
pfl
Python framework for Private Federated Learning simulations.
https://github.com/apple/pfl-research
Python framework for Private Federated Learning simulations.
https://github.com/apple/pfl-research
GitHub
GitHub - apple/pfl-research: Simulation framework for accelerating research in Private Federated Learning
Simulation framework for accelerating research in Private Federated Learning - apple/pfl-research
From Beeps to Toots: Reviving Pagers with Python and Mastodon
The article showcases a unique application of Python programming by connecting pagers with Mastodon, blending the reliability of pagers with modern social media interactions. It highlights the versatility of Python in bridging analog devices like pagers with digital platforms, demonstrating the enduring relevance of traditional communication methods in today's digital age.
https://finnley.dolphinhome.net/2024/02/25/from-beeps-to-toots-reviving-pagers-with-python-and-mastodon/
The article showcases a unique application of Python programming by connecting pagers with Mastodon, blending the reliability of pagers with modern social media interactions. It highlights the versatility of Python in bridging analog devices like pagers with digital platforms, demonstrating the enduring relevance of traditional communication methods in today's digital age.
https://finnley.dolphinhome.net/2024/02/25/from-beeps-to-toots-reviving-pagers-with-python-and-mastodon/
mit-han-lab / efficientvit
EfficientViT is a new family of vision models for efficient high-resolution vision.
https://github.com/mit-han-lab/efficientvit
EfficientViT is a new family of vision models for efficient high-resolution vision.
https://github.com/mit-han-lab/efficientvit
GitHub
GitHub - mit-han-lab/efficientvit: Efficient vision foundation models for high-resolution generation and perception.
Efficient vision foundation models for high-resolution generation and perception. - mit-han-lab/efficientvit
Bython: Python with braces. Because Python is awesome, but whitespace is awful
https://pypi.org/project/Bython/
https://pypi.org/project/Bython/
PyPI
Bython
Python with braces
Deploying Django Apps in Kubernetes
Learn you can optimize Django deployments seamlessly in a Kubernetes environment, whether you are a Django developer or a Kubernetes enthusiast.
https://blog.jetbrains.com/pycharm/2024/03/deploying-django-apps-in-kubernetes/
Learn you can optimize Django deployments seamlessly in a Kubernetes environment, whether you are a Django developer or a Kubernetes enthusiast.
https://blog.jetbrains.com/pycharm/2024/03/deploying-django-apps-in-kubernetes/
The JetBrains Blog
Deploying Django Apps in Kubernetes | The PyCharm Blog
Learn how you can optimize deploying Django apps in a Kubernetes environment, whether you are a Django developer or a Kubernetes enthusiast.
Cadwyn
Production-ready community-driven modern Stripe-like API versioning in FastAPI.
https://github.com/zmievsa/cadwyn
Production-ready community-driven modern Stripe-like API versioning in FastAPI.
https://github.com/zmievsa/cadwyn
GitHub
GitHub - zmievsa/cadwyn: Production-ready community-driven modern Stripe-like API versioning in FastAPI
Production-ready community-driven modern Stripe-like API versioning in FastAPI - zmievsa/cadwyn