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TimeGPT-1: production ready pre-trained Time Series Foundation Model for forecasting and anomaly detection. Generative pretrained transformer for time series trained on over 100B data points. It's …
streamline the fine-tuning process for multimodal models: PaliGemma 2, Florence-2, and Qwen2.5-VL
Real-time pose estimation pipeline with 🤗 Transformers
Clean, minimal, accessible reproduction of DeepSeek R1-Zero
📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
Guide for playing around with the ZED Stereo Camera, Visual Odometry and Visual SLAM (RTAB-Map)
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
ROMAN is a view-invariant global localization method that maps open-set objects and uses the geometry, shape, and semantics of objects to find the transformation between a current pose and previous…
Gesture based file dropping app between two PC on LAN
This github repository of "Machine Learning and Data Science Blueprints for Finance". Please star.
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
Detect complete and incomplete circular shapes in noisy images
Solution to the Challenge posted by SlingShot AI. https://slingshotai.notion.site/Circle-Detection-ML-Challenge-070b2947a4334c2bab4378f821954cdd
A Library for Differentiable Logic Gate Networks
Source code for the paper DM-VIO: Delayed Marginalization Visual-Inertial Odometry
Autonomous Robot Navigation using Tensorflow Incpetion V3 Image Recognition Engine and Robot Operating System (ROS)
Jobs_Applier_AI_Agent_AIHawk aims to easy job hunt process by automating the job application process. Utilizing artificial intelligence, it enables users to apply for multiple jobs in a tailored way.
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
Recurrent Trend Predictive Neural Network (rTPNN): A neural network model to automatically capture trends in time-series data for improved prediction/forecasting performance
Training YOLOv5/YOLOv9 to detect fire in a video