- San Francisco, CA, USA
- http://codinginparadise.org
Stars
Opiniated RAG for integrating GenAI in your apps 🧠 Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: …
🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
a state-of-the-art-level open visual language model | 多模态预训练模型
A Python package for segmenting geospatial data with the Segment Anything Model (SAM)
[ECCV 2024] Official implementation of the paper "Semantic-SAM: Segment and Recognize Anything at Any Granularity"
Images to inference with no labeling (use foundation models to train supervised models).
Must-have resource for anyone who wants to experiment with and build on the OpenAI vision API 🔥
❄️🔥 Visual Prompt Tuning [ECCV 2022] https://arxiv.org/abs/2203.12119
This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
[CVPR 2024 🔥] GeoChat, the first grounded Large Vision Language Model for Remote Sensing
ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels
Deep learning pipeline for orbital satellite data for detecting clouds
[ACM MM23] CLIP-Count: Towards Text-Guided Zero-Shot Object Counting
A Python package for using Artificial Intelligence (AI) with geospatial data
Fine-tuning OpenAI CLIP Model for Image Search on medical images
Simplex Random Feature attention, in PyTorch
Changes to Captions: An Attentive Network for Remote Sensing Change Captioning
A neural net trained over a person's personal photo collection to do face detection