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Allen Institute for Cell Science
- Seattle
- https://kiryteo.github.io/
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aider is AI pair programming in your terminal
Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
Official implementation of SIGGRAPH 2025 paper "Image-GS: Content-Adaptive Image Representation via 2D Gaussians"
Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.
Software for Quantifying Mitochondrial Content in Live Cells
Repository for the book "Crafting Interpreters"
🦖Pytorch implementation of popular Attention Mechanisms, Vision Transformers, MLP-Like models and CNNs.🔥🔥🔥
This repository contains the official implementation of "FastVLM: Efficient Vision Encoding for Vision Language Models" - CVPR 2025
Domain-specific language designed to streamline the development of high-performance GPU/CPU/Accelerators kernels
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
PyTorch native quantization and sparsity for training and inference
A high-throughput and memory-efficient inference and serving engine for LLMs
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
RNA-seq prediction with deep convolutional neural networks.
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
SCOTT: Synthesizing Curvature Operations and Topological Tools
Inference code for scalable emulation of protein equilibrium ensembles with generative deep learning
DeepCAD-RT: Real-time denoising of fluorescence time-lapse imaging using deep self-supervised learning
(ECCVW 2020) Joint Denoising and SR in Microscopy Imaging
CVPR 2019: Fluorescence Microscopy Denoising (FMD) dataset
[ICLR 2021 top 3%] Is Attention Better Than Matrix Decomposition?
Code for the paper "Multi-scale Diffusion Denoised Smoothing" (NeurIPS 2023)
Solve puzzles. Improve your pytorch.