xinsir

Deep Learning, Representation Learning, Fine-Grained Classification

CommonProductImageDeep LearningRepresentation Learning

xinsir (qi) is a product focused on deep learning, representation learning, and fine-grained classification. It offers powerful features and technologies with key advantages and background information. The product features multiple models for user selection.

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xinsir — Deep Learning, Representation Learning, Fine-Grained Classification

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PhotoDoodle — PhotoDoodle is a code implementation of artistic image editing based on learning from a small number of sample pairs.

Profiling Data in DeepSeek Infra — Analyzes the computation and communication overlap strategies in V3/R1, providing performance analysis data for deep learning frameworks.

EPLB — An open-source algorithm for expert parallelism load balancing, designed to optimize expert allocation and load balancing in multi-GPU environments.

DualPipe — A bidirectional pipeline parallel algorithm for overlapping computation and communication in V3/R1 training.

DeepGEMM — DeepGEMM is a CUDA library for efficient FP8 matrix multiplication, supporting fine-grained scaling and various optimization techniques.

DeepEP — DeepEP is a high-performance communication library for Mixture-of-Experts (MoE) and Expert Parallel (EP) communication.

FlexHeadFA — A fast and memory-efficient accurate attention mechanism.

FlashMLA — FlashMLA is a high-efficiency MLA decoding kernel optimized for Hopper GPUs, suitable for variable-length sequence services.

QwQ-Max-Preview — QwQ-Max-Preview is the latest addition to the Qwen series, built upon Qwen2.5-Max. It boasts powerful reasoning capabilities and broad applicability across multiple domains.

Claude 3.7 Sonnet — Claude 3.7 Sonnet is Anthropic's latest intelligent model, supporting both rapid response and deep reasoning.

VLM-R1 — VLM-R1 is a stable and versatile reinforcement learning-enhanced visual-language model focused on visual understanding tasks.

BioEmu — BioEmu is a generative deep learning model for scalable simulation of protein equilibrium ensembles.

FlashVideo — FlashVideo is an efficient high-resolution video generation model that prioritizes detail and fidelity in motion.

DeepSeek Model Compatibility Checker — Checks whether devices can run various sizes of DeepSeek models and provides compatibility predictions.

Huginn-0125 — Huginn-0125 is a latent variable recurrent deep model with 3.5 billion parameters, excelling in inference and code generation.

recurrent-pretraining — Pretraining code for large-scale deep recurrent language models, capable of running on 4096 AMD GPUs.

Lumina-Video — Lumina-Video is an initial attempted project for video generation that supports text-to-video conversion.

Brain2Qwerty — A non-invasive brain-computer interface technology that decodes brain activity through EEG or MEG for text input.

VisoMaster — Powerful video replacement and editing software that utilizes AI technology for natural effects.

MNN — MNN is an open-source, lightweight, high-performance inference engine developed by Alibaba, supporting various mainstream model formats.

LLaSA_training — LLaSA: Extending training and inference computational requirements for LLaMA-based speech synthesis

VideoJAM — VideoJAM is a framework designed to enhance the motion coherence of video generation models.

BEN2 — BEN2 is a deep learning-based image segmentation model focusing on background removal and foreground extraction.

DeepResearch123 — A navigation website for AI research resources, providing documents and practical case studies in the field of AI.