Shush is an app that deploys a WhisperV3 model with Flash Attention v2 on Modal and makes requests to it via a NextJS app
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Updated
Jun 7, 2024 - TypeScript
Shush is an app that deploys a WhisperV3 model with Flash Attention v2 on Modal and makes requests to it via a NextJS app
Implementation of FlashAttention (FA1-FA4) in PyTorch for educational and algorithmic clarity
Triton implementation of FlashAttention2 that adds Custom Masks.
🎭 Real-time voice-controlled 3D avatar with multimodal AI - speak naturally and watch your AI companion respond with perfect lip-sync
Performance of the C++ interface of flash attention and flash attention v2 in large language model (LLM) inference scenarios.
A flexible and efficient implementation of Flash Attention 2.0 for JAX, supporting multiple backends (GPU/TPU/CPU) and platforms (Triton/Pallas/JAX).
Cross-platform FlashAttention-2 Triton implementation for Turing+ GPUs with custom configuration mode
A cutlass cute implementation of headdim-64 flashattentionv2 TensorRT plugin for LightGlue. Run on Jetson Orin NX 8GB with TensorRT 8.5.2.
Vulkan & GLSL implementation of FlashAttention-2
FlashAttention for sliding window attention in Triton (fwd + bwd pass)
A Gradio-based demo application for comparing state-of-the-art OCR models: DeepSeek-OCR, Dots.OCR, HunyuanOCR, and Nanonets-OCR2-3B.
DeepSeek-OCR-2-Unlimited-OCR is an advanced, experimental visual document processing and open-ended text localization dashboard. This application establishes a unified interface that allows users to swap between two premier vision-language document models: deepseek-ai/DeepSeek-OCR-2 and baidu/Unlimited-OCR.
Tiny VLMs Lab is a Hugging Face Space and open-source project showcasing lightweight Vision-Language Models for image captioning, OCR, reasoning, and multimodal understanding. It offers a simple Gradio interface to upload images, query models, adjust generation settings, and export results in Markdown or PDF.
SAM3-Plus-Qwen3.5 is an advanced, experimental computer vision suite that seamlessly integrates Facebook's Segment Anything Model 3 (SAM3) with the Qwen3.5 multimodal reasoning engine.
A high-performance C++ backend for extreme-context LLM inference. It replaces item-count batching with dynamic, VRAM-aware First-Fit Decreasing (FFD) bin packing. By using PyBind11 for async queueing, 16-token alignment, and `cudaHostAlloc` for zero-copy FlashAttention-2 transfers, it mathematically eliminates OOMs and maximizes GPU throughput.
Transcribe audio in minutes with OpenAI's WhisperV3 and Flash Attention v2 + Transformers without relying on third-party providers and APIs. Host it yourself or try it out.
Poplar implementation of FlashAttention for IPU
Core-OCR is an advanced, experimental Optical Character Recognition (OCR) and document analysis suite designed for highly accurate text extraction, table reconstruction, and complex visual reasoning. Built on the robust Qwen2.5-VL and Qwen2-VL multimodal architectures.
TRELLIS.2-Text-to-3D-FA2 is an advanced, experimental 3D asset generation suite that couples high-speed text-to-image synthesis with structured 3D geometry reasoning. By linking Alibaba's rapid Tongyi-MAI/Z-Image-Turbo pipeline with Microsoft's state-of-the-art microsoft/TRELLIS.2-4B foundational 3D asset mode.
Systematically train and benchmark Mistral, Qwen2.5, and SmolLM2 on essay grading across 39 experiments through data analysis and engineering, structured preprocessing, instruction tuning, postprocessing, and leakage aware evaluation for robust score and rationale generation
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