OpenLMLab / MOSS
An open-source tool-augmented conversational language model from Fudan University
https://github.com/OpenLMLab/MOSS
An open-source tool-augmented conversational language model from Fudan University
https://github.com/OpenLMLab/MOSS
GitHub
GitHub - OpenMOSS/MOSS: An open-source tool-augmented conversational language model from Fudan University
An open-source tool-augmented conversational language model from Fudan University - OpenMOSS/MOSS
I’m open-sourcing the Python interface for JOY OF PROGRAMMING - a programming game where you automate all kinds of machines, robots, drones and more.
https://www.reddit.com/r/Python/comments/13ltk4q/im_opensourcing_the_python_interface_for_joy_of/
https://www.reddit.com/r/Python/comments/13ltk4q/im_opensourcing_the_python_interface_for_joy_of/
Reddit
From the Python community on Reddit: I’m open-sourcing the Python interface for JOY OF PROGRAMMING - a programming game where you…
Explore this post and more from the Python community
Integrals 300X Faster in Python (DON'T use SciPy)
The video discusses the use of TorchQuad, which is a library of different integration techniques built using PyTorch functionality that utilizes GPU accelerated operations for faster computations. The video shows a basic example and goes on to demonstrate a physics problem and derivation of a four-dimensional integral that can be solved using TorchQuad library.
https://www.youtube.com/watch?v=GOiTF11umMo
The video discusses the use of TorchQuad, which is a library of different integration techniques built using PyTorch functionality that utilizes GPU accelerated operations for faster computations. The video shows a basic example and goes on to demonstrate a physics problem and derivation of a four-dimensional integral that can be solved using TorchQuad library.
https://www.youtube.com/watch?v=GOiTF11umMo
YouTube
Integrals 300X Faster in Python (DON'T use SciPy)
CHECK OUT MY NEW UDEMY COURSE, NOW 90% OFF WITH THIS CODE:
https://www.udemy.com/course/python-stem-essentials/?couponCode=MRPSOLVER_INT
Code:
https://github.com/lukepolson/youtube_channel/blob/main/Python%20GPU/integration.ipynb
Links to the torchquad…
https://www.udemy.com/course/python-stem-essentials/?couponCode=MRPSOLVER_INT
Code:
https://github.com/lukepolson/youtube_channel/blob/main/Python%20GPU/integration.ipynb
Links to the torchquad…
Learning Physically Simulated Tennis Skills from Broadcast Videos
The research project "Vid2Player3D" by NVIDIA aims to develop a deep learning model that can convert 2D videos into 3D animations by leveraging temporal coherence and depth cues, enabling the generation of realistic 3D virtual characters from ordinary videos.
https://research.nvidia.com/labs/toronto-ai/vid2player3d
The research project "Vid2Player3D" by NVIDIA aims to develop a deep learning model that can convert 2D videos into 3D animations by leveraging temporal coherence and depth cues, enabling the generation of realistic 3D virtual characters from ordinary videos.
https://research.nvidia.com/labs/toronto-ai/vid2player3d
Nvidia
Vid2Player3D
We present a system that learns diverse, physically simulated tennis skills from large-scale demonstrations of tennis play harvested from broadcast videos. Our approach is built upon hierarchical models, combining a low-level imitation policy and a high-level…
The Little Book of Deep Learning
A short introduction to deep learning. It aims at providing the necessary context to understand key recent AI models for image generation and language processing.
https://fleuret.org/public/lbdl.pdf
A short introduction to deep learning. It aims at providing the necessary context to understand key recent AI models for image generation and language processing.
https://fleuret.org/public/lbdl.pdf
Vision-CAIR / MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
https://github.com/Vision-CAIR/MiniGPT-4
MiniGPT-4: Enhancing Vision-language Understanding with Advanced Large Language Models
https://github.com/Vision-CAIR/MiniGPT-4
GitHub
GitHub - Vision-CAIR/MiniGPT-4: Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/) - Vision-CAIR/MiniGPT-4
muellerberndt / mini-agi
MiniAGI is a minimal general-purpose autonomous agent based on GPT-3.5 / GPT-4. Can analyze stock prices, perform network security tests, create art, and order pizza.
https://github.com/muellerberndt/mini-agi
MiniAGI is a minimal general-purpose autonomous agent based on GPT-3.5 / GPT-4. Can analyze stock prices, perform network security tests, create art, and order pizza.
https://github.com/muellerberndt/mini-agi
GitHub
GitHub - muellerberndt/mini-agi: MiniAGI is a simple general-purpose AI agent based on the OpenAI API.
MiniAGI is a simple general-purpose AI agent based on the OpenAI API. - muellerberndt/mini-agi
solara
A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps.
https://github.com/widgetti/solara
A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps.
https://github.com/widgetti/solara
GitHub
GitHub - widgetti/solara: A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps
A Pure Python, React-style Framework for Scaling Your Jupyter and Web Apps - widgetti/solara
karrio
Karrio is an open-source shipping infrastructure for platform. With Karrio, you can build shipping experience into your platform, access a network of shipping carriers with a single API integration, automate fulfilment and improve logistics operations.
https://github.com/karrioapi/karrio
Karrio is an open-source shipping infrastructure for platform. With Karrio, you can build shipping experience into your platform, access a network of shipping carriers with a single API integration, automate fulfilment and improve logistics operations.
https://github.com/karrioapi/karrio
GitHub
GitHub - karrioapi/karrio: Programmable Shipping APIs (self-hosted)
Programmable Shipping APIs (self-hosted). Contribute to karrioapi/karrio development by creating an account on GitHub.
Build a Routing Web App With Neo4j, OpenStreetMap, and Leaflet.js
Hands-On Workshop Exploring Working With Road Network Data and Routing With Graph Algorithms.
https://medium.com/neo4j/build-a-routing-web-app-with-neo4j-openstreetmap-and-leaflet-js-bdc66443132c
Hands-On Workshop Exploring Working With Road Network Data and Routing With Graph Algorithms.
https://medium.com/neo4j/build-a-routing-web-app-with-neo4j-openstreetmap-and-leaflet-js-bdc66443132c
Medium
Build a Routing Web App With Neo4j, OpenStreetMap, and Leaflet.js
Hands-On Workshop Exploring Working With Road Network Data and Routing With Graph Algorithms
openai / plugins-quickstart
Get a ChatGPT plugin up and running in under 5 minutes!
https://github.com/openai/plugins-quickstart
Get a ChatGPT plugin up and running in under 5 minutes!
https://github.com/openai/plugins-quickstart
GitHub
GitHub - openai/plugins-quickstart: Get a ChatGPT plugin up and running in under 5 minutes!
Get a ChatGPT plugin up and running in under 5 minutes! - openai/plugins-quickstart
Optimize Django Query Performance by combining Select Related and Prefetch Related
When building a Django application, one of the key challenges developers face is optimizing database query performance. Django provides two tools,selectrelated and prefetchrelated, that reduce the number of database queries, and increase the performance of your application. This post explores the power of these two methods and how to combine them to maximize your application’s query performance.
https://johnnymetz.com/posts/combine-select-related-prefetch-related/
When building a Django application, one of the key challenges developers face is optimizing database query performance. Django provides two tools,selectrelated and prefetchrelated, that reduce the number of database queries, and increase the performance of your application. This post explores the power of these two methods and how to combine them to maximize your application’s query performance.
https://johnnymetz.com/posts/combine-select-related-prefetch-related/
Johnny Metz
Optimize Django Query Performance by combining Select Related and Prefetch Related
Introduction
When building a Django application, one of the key challenges developers face is optimizing database query performance. Django provides two tools,select_related and prefetch_related, that reduce the number of database queries, and increase the…
When building a Django application, one of the key challenges developers face is optimizing database query performance. Django provides two tools,select_related and prefetch_related, that reduce the number of database queries, and increase the…
Datalab: A Linter for ML Datasets
Catch issues in your data/labels. This unified audit uses your ML model to automatically detect various problems in real-world datasets that can be fixed to produce a better model.
https://cleanlab.ai/blog/datalab/
Catch issues in your data/labels. This unified audit uses your ML model to automatically detect various problems in real-world datasets that can be fixed to produce a better model.
https://cleanlab.ai/blog/datalab/
Cleanlab
Datalab: A Linter for ML Datasets
Catch issues in your data/labels. This unified audit uses your ML model to automatically detect various problems in real-world datasets that can be fixed to produce a better model.
Building a Headless E-Commerce App Using OceanBase and Python
This post demonstrates how to use OceanBase in a Python project. We will create a REST API that serves as the backend of a headless e-commerce app.
https://dzone.com/articles/building-a-headless-e-commerce-app-using-oceanbase
This post demonstrates how to use OceanBase in a Python project. We will create a REST API that serves as the backend of a headless e-commerce app.
https://dzone.com/articles/building-a-headless-e-commerce-app-using-oceanbase
DZone
Building a Headless E-Commerce App Using OceanBase and Python
This blog post will demonstrate how to use OceanBase in a Python project. We will create a REST API that serves as the backend of a headless e-commerce app.
Implement DNS in a weekend
An interactive tutorial on implementing a basic DNS server using Python, guiding users through the process step-by-step with clear explanations and code examples, making it a useful resource for learning and understanding DNS server implementation.
https://implement-dns.wizardzines.com/
An interactive tutorial on implementing a basic DNS server using Python, guiding users through the process step-by-step with clear explanations and code examples, making it a useful resource for learning and understanding DNS server implementation.
https://implement-dns.wizardzines.com/
tidybot
Personalized Robot Assistance with Large Language Models.
https://github.com/jimmyyhwu/tidybot
Personalized Robot Assistance with Large Language Models.
https://github.com/jimmyyhwu/tidybot
GitHub
GitHub - jimmyyhwu/tidybot: TidyBot: Personalized Robot Assistance with Large Language Models
TidyBot: Personalized Robot Assistance with Large Language Models - jimmyyhwu/tidybot