MachineLearningLM-7B-v1 is a large language model that is continuously pre-trained on millions of synthetic table machine learning tasks based on Qwen/Qwen2.5-7B-Instruct. It is specifically optimized for table classification tasks and supports few-shot context learning with 8 to 1024 examples.

Natural Language ProcessingTransformers

Deepscaler is an advanced AI model developed based on DeepScaleR-1.5B-Preview, focusing on improving the efficiency and scalability of machine learning tasks. This model provides high-quality predictive analysis and data processing capabilities, suitable for complex scenarios such as natural language processing and computer vision, and has wide applications in industries such as finance, healthcare, and entertainment.

Natural Language ProcessingGguf

A machine learning model specifically designed for classifying high-frequency oscillations (HFOs) in neural signals, used in epilepsy and brain function research.

Scientific ComputingSafetensors

A set of machine learning models specifically designed for classifying high-frequency oscillations (HFOs) in neural signals, used in epilepsy and brain function research.

Scientific ComputingSafetensors

A machine learning model specifically designed for classifying high-frequency oscillations (HFOs) in neural signals, used in epilepsy and brain function research.

Scientific ComputingSafetensors

Derm Foundation is a machine learning model designed to accelerate AI development for skin image analysis in dermatology applications.

Computer VisionTensorflowEnglish

The CXR Foundation Model is a machine learning model optimized for chest X-ray image analysis, generating embedding vectors through pre-training to accelerate AI development.

MultimodalTensorflowEnglish

Path Foundation is a machine learning model for histopathology applications, trained through self-supervised learning to generate 384-dimensional embedding vectors from H&E-stained slides for efficient classifier model training.

Computer VisionTensorflowEnglish

CycleResearcher is an automated research system based on reinforcement learning and iterative feedback, specifically trained for machine learning research, covering fields such as computer vision and natural language processing.

Natural Language ProcessingTransformersMultiple Languages

A machine learning-based motion planning system for robotic manipulation tasks, combining neural networks with optimization techniques to generate collision-free motion trajectories

Computer VisionPytorchEnglish

A machine learning-based motion planning system for robotic manipulation tasks, combining neural networks with optimization techniques to generate efficient collision-free trajectories

Computer VisionPytorchEnglish

A machine learning-based motion planning system for robotic manipulation tasks, combining neural networks with lightweight optimization techniques to generate efficient, collision-free trajectories

Computer VisionPytorchEnglish

LGM is a high-resolution 3D content creation pipeline integrating multi-view diffusion models, specifically designed for 3D machine learning courses.

Computer VisionDiffusers

A machine learning model specifically designed for real-time CCTV road traffic monitoring, used for road traffic flow estimation and metrics statistics

Computer VisionTransformersEnglish

Pure Transformer-based Euclideanization method for graph structures, designed for graph machine learning tasks

Scientific ComputingTransformers

This project downscales ERA5 global reanalysis data to establish a machine learning model capable of generating high-resolution regional reanalysis data

Scientific ComputingTensorboardMultiple Languages

Vicuna is a chat assistant model fine-tuned based on Llama 2, trained through supervised instruction fine-tuning on user-shared dialogues collected by ShareGPT. This model is mainly used for research on large language models and chatbots, supports a context length of 16k, and is targeted at researchers and enthusiasts in the fields of natural language processing, machine learning, and artificial intelligence.

Natural Language ProcessingTransformers

CADET is a machine learning pipeline specifically designed to identify X-ray cavities in noisy Chandra images of early-type galaxies and galaxy clusters.

Computer VisionTensorflowEnglish

Vicuna is a chat assistant model fine-tuned based on LLaMA. It is trained through supervised instruction fine-tuning on user-shared conversations collected from ShareGPT. This model is mainly used for research on large language models and chatbots, providing a powerful research tool for researchers and enthusiasts in the fields of natural language processing, machine learning, and artificial intelligence.

Natural Language ProcessingTransformers

A T5-small fine-tuned model for generating tags for machine learning articles, automatically converting article content into relevant tags

Natural Language ProcessingTransformersEnglish