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Open Source AI coding assistant for planning, building, and fixing code. We're a superset of Roo, Cline, and our own features. Follow us: kilocode.ai/social

Analysis, Comparison, Trends, Rankings of Open Source Software, you can also get insight from more than 7 billion with natural language (powered by OpenAI). Follow us on Twitter: https://twitter.com/ossinsight

Review-Gate V2 is a powerful rule for the Cursor IDE that helps you get up to 5x more value from your monthly requests. It creates an interactive loop where the AI waits for your follow-up commands—via text, voice, or image upload—allowing you to perform deep, iterative work all within a single request.

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

This repo provides a customizable stack for starting new ML projects on Databricks that follow production best-practices out of the box.

?This repo contains detailed notes and multiple projects implemented in Python related to AI and Finance. Follow the blog here: https://purvasingh.medium.com

This is a ChatGPT based prompt generation model for MidJorney. The purpose of this model is to simplify the creation of images and increase their creativity. By introducing a partial hint, ChatGPT creates a follow-up that can be used to stimulate creativity and provide new ideas.

Build a powerful Deep Research AI agent like Gemini or ChatGPT. Using Next.js, Vercel AI SDK, and Exa Search API, An intelligent system that generates follow-up questions, crafts optimal search queries, and compiles comprehensive research reports.

Algorithm for prioritized multi-agent path finding (MAPF) in grid-worlds. Moves into arbitrary directions are allowed (each agent is allowed to follow any-angle path on the grid). Timeline is continuous, i.e. action durations are not explicitly discretized into timesteps. Different agents' size and moving speed are supported. Planning is carried out in (x, y, \theta) configuration space, i.e. agents' orientation are taken into account.

An automation tool who follows, unfollows, stars, and unstars on autopilot so you can focus on coding while your community grows organically.

Follow the rapid development of AIGC models and applications. | 跟上AIGC模型和应用快速发展的步伐 ?

Slax Reader goes beyond saving content—it helps you learn. Save web pages, highlight, discuss, and use AI to clarify concepts. Follow creators and explore shared bookmarks for collective insights.

Implements pre-training, supervised fine-tuning (SFT), and reinforcement learning from human feedback (RLHF), to train and fine-tune the LLaMA2 model to follow human instructions, similar to InstructGPT or ChatGPT, but on a much smaller scale.

Dynamic movement primitives (DMPs) are a method of trajectory control/planning from Stefan Schaal’s lab. Complex movements have long been thought to be composed of sets of primitive action ‘building blocks’ executed in sequence and \ or in parallel, and DMPs are a proposed mathematical formalization of these primitives. The difference between DMPs and previously proposed building blocks is that each DMP is a nonlinear dynamical system. The basic idea is that you take a dynamical system with well specified, stable behavior and add another term that makes it follow some interesting trajectory as it goes about its business. The DMP differential equations (Transformation System, Canonical System, Non-linear Function) realize a general way of generating point-to-point movements. Imitation learning using linear regression is performed to com

This repository contains the code for the CONLL 2019 paper "Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking". The code is provided as a documentation for the paper and also for follow-up research.

A crew of ai agents for extracting data from Jira boards, generating reports and request follow ups on slack.

This project includes many aspect and all of them are done by ROS/Gazebo environment and the programming language used is Python.Starting by launching 3 Ackerman vehicles in one Gazebo environment and providing a path planning of lane changing of the leader car, the leader will move according to this path using Fuzzy Logic Control, and the 2 followers will follow each other using Goal to Goal controller.

Code for paper “How2Sketch: generating easy-to-follow tutorials for sketching 3D objects.” I3D (2017)

Easy-to-follow Pytorch tutorial Notebook for Multi-Agent-Diverse-Generative-Adversarial-Networks

This repository documents my journey to become a Machine Learning Engineer. It contains the list of projects undertaken, books read, courses pursued and almost everything I did in the process. So follow along or diverge to you own path, each way, I believe this will add value to any data professional / enthusiast.