Challenges & docs from JS Algorithms & Data Structures course

Stop renting your intelligence. Own it with AnythingLLM. Everything you need for a powerful local-first agent experience

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

An open-source, self-hostable PaaS alternative to Vercel, Heroku & Netlify that lets you easily deploy static sites, databases, full-stack applications and 280+ one-click services on your own servers.

A fast and flexible implementation of Rigid Body Dynamics algorithms and their analytical derivatives

InstructLab Core package. Use this to chat with a model and execute the InstructLab workflow to train a model using custom taxonomy data.

A programming framework for agentic AI

A model set of guidelines for RESTful APIs and Events, created by Zalando

MongoDB stuff

A GenAI Search powered by llama-cpp-python and small language model Phi-3

Node.js JavaScript runtime ✨🐢🚀✨

High-quality PNGs for logos I made for fun

Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection, CVPR 2022

(ICLR) Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving

https://arxiv.org/pdf/2202.02980

The official Meta Llama 3 GitHub site

20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

CompanionLLM - A framework to finetune LLMs to be your own sentient conversational companion

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Grok open release

List of top 500 ReactJS Interview Questions & Answers....Coding exercise questions are coming soon!!

Source codes of “Autonomous Driving on Curvy Roads without Reliance on Frenet Frame: A Cartesian-based Trajectory Planning Method” published in IEEE Trans. Intelligent Transportation Systems

A ROS package that implements a multi-robot RRT-based map exploration algorithm. It also has the image-based frontier detection that uses image processing to extract frontier points.

PID controller following a moving carrot

The main goal of the project is to implement in C++ Model Predictive Control to drive the vehicle around the simulator track.

Python bindings for llama.cpp

Lane follower: Lane-detector (OpenCV) + Object-detector (YOLO5) + CAN-bus

This repo brings numerous use cases from the Open Source Ollama