FastAPI-SaaS-Template
A FastAPI template for License and user management for SaaS and on-prem software
https://github.com/shekhuverma/FastAPI-SaaS-Template
A FastAPI template for License and user management for SaaS and on-prem software
https://github.com/shekhuverma/FastAPI-SaaS-Template
GitHub
GitHub - shekhuverma/FastAPI-SaaS-Template: FastAPI based feature rich backend for SaaS products and creating user dashboards.
FastAPI based feature rich backend for SaaS products and creating user dashboards. - shekhuverma/FastAPI-SaaS-Template
dvlab-research / MGM
Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"
https://github.com/dvlab-research/MGM
Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"
https://github.com/dvlab-research/MGM
GitHub
GitHub - dvlab-research/MGM: Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models"
Official repo for "Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models" - dvlab-research/MGM
❤1
Parsing PNG images in Mojo
The post details the author's experience implementing a PNG parser in the Mojo programming language. It covers challenges faced, such as handling unsigned 8-bit integers and converting bytes to strings, while exploring idiomatic ways to write Mojo code for this task.
https://fnands.com/blog/2024/mojo-png-parsing/
The post details the author's experience implementing a PNG parser in the Mojo programming language. It covers challenges faced, such as handling unsigned 8-bit integers and converting bytes to strings, while exploring idiomatic ways to write Mojo code for this task.
https://fnands.com/blog/2024/mojo-png-parsing/
Fnands
fnands - Parsing PNG images in Mojo
👍1
MindNLP
Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of Huggingface.
https://github.com/mindspore-lab/mindnlp
Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of Huggingface.
https://github.com/mindspore-lab/mindnlp
GitHub
GitHub - mindspore-lab/mindnlp: Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models…
Easy-to-use and high-performance NLP and LLM framework based on MindSpore, compatible with models and datasets of 🤗Huggingface. - mindspore-lab/mindnlp
stanford-oval / storm
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
https://github.com/stanford-oval/storm
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
https://github.com/stanford-oval/storm
GitHub
GitHub - stanford-oval/storm: An LLM-powered knowledge curation system that researches a topic and generates a full-length report…
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations. - stanford-oval/storm
FunClip
Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated.
https://github.com/alibaba-damo-academy/FunClip
Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated.
https://github.com/alibaba-damo-academy/FunClip
GitHub
GitHub - modelscope/FunClip: Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping…
Open-source, accurate and easy-to-use video speech recognition & clipping tool, LLM based AI clipping intergrated. - modelscope/FunClip
👍1
LLM Models and RAG Hands-on Guide
This guide is designed for technical teams interested in developing basic conversational AI solutions using Retrieval-Augmented Generation (RAG).
https://github.com/zahaby/intro-llm-rag
This guide is designed for technical teams interested in developing basic conversational AI solutions using Retrieval-Augmented Generation (RAG).
https://github.com/zahaby/intro-llm-rag
GitHub
GitHub - zahaby/intro-llm-rag: LLM Models and RAG Hands-on guide
LLM Models and RAG Hands-on guide. Contribute to zahaby/intro-llm-rag development by creating an account on GitHub.
Replacing pyinstaller with 100 lines of code
A tale of how I accidentally stumbled upon some interesting tech over time.
https://tushar.lol/post/packaged/
A tale of how I accidentally stumbled upon some interesting tech over time.
https://tushar.lol/post/packaged/
tush.ar
Replacing pyinstaller with 100 lines of code
A tale of how I accidentally stumbled upon some interesting tech over time.
llama3-from-scratch
llama3 implementation one matrix multiplication at a time.
https://github.com/naklecha/llama3-from-scratch
llama3 implementation one matrix multiplication at a time.
https://github.com/naklecha/llama3-from-scratch
GitHub
GitHub - naklecha/llama3-from-scratch: llama3 implementation one matrix multiplication at a time
llama3 implementation one matrix multiplication at a time - naklecha/llama3-from-scratch
Llama 3 implemented in pure NumPy
Understand the exact structure with working implementation of the Llama 3 model.
https://docs.likejazz.com/llama3.np/
Understand the exact structure with working implementation of the Llama 3 model.
https://docs.likejazz.com/llama3.np/
College Precalculus – Full Course with Python Code
Learn college Precalculus from an experienced university mathematics professor. You will also learn how to implement all the Precalculus concepts using the Python programming language.
https://www.youtube.com/watch?v=Y8oZtFYweTY
Learn college Precalculus from an experienced university mathematics professor. You will also learn how to implement all the Precalculus concepts using the Python programming language.
https://www.youtube.com/watch?v=Y8oZtFYweTY
YouTube
College Precalculus – Full Course with Python Code
Learn college Precalculus from an experienced university mathematics professor. You will also learn how to implement all the Precalculus concepts using the Python programming language.
💻 Code: https://colab.research.google.com/drive/1Wn8CLlR__gQAMmGrC2DL6YqglTTrsviN…
💻 Code: https://colab.research.google.com/drive/1Wn8CLlR__gQAMmGrC2DL6YqglTTrsviN…
A Beginner's Guide to Unit Testing with Pytest
In this guide, we will explore the core principles of unit testing, delve into Pytest's powerful capabilities, and equip you with the knowledge and skills to write clean, maintainable, and effective tests.
https://betterstack.com/community/guides/testing/pytest-guide/
In this guide, we will explore the core principles of unit testing, delve into Pytest's powerful capabilities, and equip you with the knowledge and skills to write clean, maintainable, and effective tests.
https://betterstack.com/community/guides/testing/pytest-guide/
Betterstack
A Beginner's Guide to Unit Testing with Pytest | Better Stack Community
Learn how to write clean, concise, and effective Python tests using Pytest's intuitive syntax, fixtures, parametrization, and rich plugin ecosystem
❤2
Kafka Consumers in Python - A Walkthrough
Getting data out of Apache Kafka is easy if you know how, so let's go through an example step-by-step. In this walkthrough we take you through the process of creating a simple Kafka Consumer using the Quix Streams library.
https://www.youtube.com/watch?v=eCsSAzTy5cE
Getting data out of Apache Kafka is easy if you know how, so let's go through an example step-by-step. In this walkthrough we take you through the process of creating a simple Kafka Consumer using the Quix Streams library.
https://www.youtube.com/watch?v=eCsSAzTy5cE
YouTube
Kafka Consumers in Python - A Walkthrough
Getting data out of Apache Kafka is easy if you know how, so let's go through an example step-by-step. In this walkthrough we take you through the process of creating a simple Kafka Consumer using the Quix Streams library.
📥 Clone, fork or star the source…
📥 Clone, fork or star the source…
Simple Pretty Maps That Will Better Your Python Streamlit Skills
A simple tutorial on creating beautiful maps using the prettymapp library.
https://johnloewen.substack.com/p/simple-pretty-maps-that-will-better
A simple tutorial on creating beautiful maps using the prettymapp library.
https://johnloewen.substack.com/p/simple-pretty-maps-that-will-better
Data at Depth
Simple Pretty Maps That Will Better Your Python Streamlit Skills
A simple tutorial on creating beautiful maps using the prettymapp library
AgentOps
Open source Python SDK for agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks like CrewAI, Langchain, and Autogen.
https://github.com/AgentOps-AI/agentops
Open source Python SDK for agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks like CrewAI, Langchain, and Autogen.
https://github.com/AgentOps-AI/agentops
GitHub
GitHub - AgentOps-AI/agentops: Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most…
Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including OpenAI Agents SDK, CrewAI, Langchain, Autogen, AG2, and Camel...
cover-agent
An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement!
https://github.com/Codium-ai/cover-agent
An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement!
https://github.com/Codium-ai/cover-agent
GitHub
GitHub - qodo-ai/qodo-cover: Qodo-Cover: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞
Qodo-Cover: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! 💻🤖🧪🐞 - qodo-ai/qodo-cover
Curating Custom Datasets for LLM Training with NVIDIA NeMo Curator
NeMo Curator, which is part of NVIDIA NeMo, offers workflows to download and curate data from various public sources out of the box such as Common Crawl, Wikipedia, and arXiv. It also provides flexibility for developers to customize data curation pipelines to address their unique requirements and create custom datasets. This post walks you through creating a custom data curation pipeline...
https://developer.nvidia.com/blog/curating-custom-datasets-for-llm-training-with-nvidia-nemo-curator/
NeMo Curator, which is part of NVIDIA NeMo, offers workflows to download and curate data from various public sources out of the box such as Common Crawl, Wikipedia, and arXiv. It also provides flexibility for developers to customize data curation pipelines to address their unique requirements and create custom datasets. This post walks you through creating a custom data curation pipeline...
https://developer.nvidia.com/blog/curating-custom-datasets-for-llm-training-with-nvidia-nemo-curator/
NVIDIA Technical Blog
Curating Custom Datasets for LLM Training with NVIDIA NeMo Curator
Data curation is the first, and arguably the most important, step in the pretraining and continuous training of large language models (LLMs) and small language models (SLMs).