A Simple and Universal Swarm Intelligence Engine, Predicting Anything. 简洁通用的群体智能引擎，预测万物
A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related websites.
Simulate anything, for $1 & less than 10 min - Universal Swarm Intelligence Engine
[NeurIPS 2025] Official Implementation of DINO-Foresight: Looking into the Future with DINO
MiroShark: Build Swarm Intelligence Apps in Under 10 Minutes for $1 (2026)
🔥PhysInOne in Python (CVPR 2026)
[CVPR 2021] Forecasting the panoptic segmentation of future video frames
[CVPR 2025] Advancing Semantic Future Prediction through Multimodal Visual Sequence Transformers
Official implementation of our ECCV paper "StretchBEV: Stretching Future Instance Prediction Spatially and Temporally"
Predicting Future Occupancy Grids in Dynamic Environment with Spatio-Temporal Learning
SLAMP: Stochastic Latent Appearance and Motion Prediction
Imagine Before You Predict: Interleaved Latent Visual Reasoning for Video Event Prediction
A Simple and Universal Swarm Intelligence Engine, Predicting Anything. A Go system built on top of MiroFish
Analyzing and predicting Google's stock prices through detailed data exploration and advanced LSTM models. This project involves data preprocessing, creating time-series sequences, constructing and training LSTM networks, and evaluating their performance to forecast future stock prices utilizing Python and Machine Learning libraries.
Approximating a 3DCNN with a 2DCNN
FabricVision is an AI-driven real-time fabric inspection system integrating camera-based acquisition, edge-level enhancement, ML defect detection, and a centralized QC dashboard. It automates inspection, improves defect accuracy, and provides real-time monitoring, traceability, and decision support.
The aim of this repo is to predict forecast for the future of a specific area, where up to 30 years forecast being predicted using Prophet Model.
Explore web pages generated solely by a language model, with tabbed browsing, caching, cookies, and full HTTP behavior simulation.
It's about my analysis on large and real life problem based data set available @Kaggle and applied machine learning and Deep learning techniques to build necessary model. Follow me on @Kaggle : https://www.kaggle.com/harshkothari21