Unitree - Global Leader in Quadruped Robots
Unitree is a global leader in the development and production of quadruped robots, offering a range of consumer, educational, and industrial robots.
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Unitree is a pioneering company in the field of quadruped robots, known for its innovative and high-performance robotic solutions. The company offers a variety of robots, including the Go2, Go1, A1, B2, and H1, designed for different applications such as education, industry, and fitness. Unitree's robots are known for their advanced technology, adaptability, and user-friendly design. The company also provides robotic arms, perception systems, and other components to support a wide range of applications.
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Question-Level Feature Extraction on DAIC-WOZ Dataset
The DAIC-WOZ dataset contains clinical interviews designed to support the diagnosis of psychological distress conditions such as anxiety, depression, and post-traumatic stress disorder. This repository provides code for extracting question-level features from the DAIC-WOZ dataset, which can be used for multimodal analysis of depression levels.
Mental Health in Tech Survey
This dataset contains survey responses from individuals in the tech industry about their mental health, including questions about treatment, workplace resources, and attitudes towards discussing mental health in the workplace. By analyzing this dataset, we can better understand how prevalent mental health issues are among those who work in the tech sector—and what kinds of resources they rely upon to find help—so that more can be done to create a healthier working environment for all.
DeepSeek-V3
DeepSeek-V3 is a powerful Mixture-of-Experts (MoE) language model with 671 billion total parameters and 37 billion activated parameters per token. It achieves efficient inference and cost-effective training through innovative load balancing strategies and multi-token prediction training objectives. The model is pre-trained on 14.8 trillion diverse and high-quality tokens, and it outperforms other open-source models in various benchmarks.