Our newest model: Chandra (OCR)
🔄ONNX
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High Resolution Seismic Waveform Generation using Denoising Diffusion
arxiv.org·1d
📉Model Quantization
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Wave-Particle (Continuous-Discrete) Dualistic Visual Tokenization for Unified Understanding and Generation
arxiv.org·1d
🧩Attention Kernels
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Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics
arxiv.org·22h
🔗Kernel Fusion
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ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for LargeVision-and-Language Models
👁️Attention Optimization
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Functional embeddings enable Aggregation of multi-area SEEG recordings over subjects and sessions
arxiv.org·2d
📊Gradient Accumulation
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What I learned building Python notebooks to run any AI model (LLM, Vision, Audio) — across CPU, GPU, and NPU
⚡ONNX Runtime
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[P] triplet-extract: GPU-accelerated triplet extraction via Stanford OpenIE in pure Python
🔄ONNX
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DiffPace: Diffusion-based Plug-and-play Augmented Channel Estimation in mmWave and Terahertz Ultra-Massive MIMO Systems
arxiv.org·22h
🎓Model Distillation
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Automated Defect Prediction via Cross-Entropy Regularized Graph Neural Networks for Microservice Architectures
⚡ONNX Runtime
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Beyond the "Vibe Check": How to Use the Web Codegen Scorer to Master AI-Generated Code
🤖AI Coding Tools
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Structure-Preserving Physics-Informed Neural Network for the Korteweg--de Vries (KdV) Equation
arxiv.org·1d
🎓Model Distillation
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AndesVL Technical Report: An Efficient Mobile-side Multimodal Large LanguageModel
🎯Tensor Cores
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