asdfefbhjy

@asdfefbhjy · User

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asdfefbhjy/PsychADxD

PsychAD Cross-Disorder Capstone - Single-cell atlas of transcriptomic vulnerability across multiple neuropsychiatric and neurodegenerative diseases

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asdfefbhjy/IgFold

Fast, accurate antibody structure prediction from deep learning on massive set of natural antibodies

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asdfefbhjy/scDFM

scDFM: Distributional Flow Matching for Robust Single-Cell Perturbation Prediction (ICLR 2026)

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asdfefbhjy/MultiModalSpectralTransformer

This is the code associated to the paper about the MultiModalSpectralTransformer, capable of predicting molecules from spectral data (1H, 13C, HSQC, COSY, IR).

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asdfefbhjy/LLaMA-Omni

LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.

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asdfefbhjy/sandbox-runtime

A lightweight sandboxing tool for enforcing filesystem and network restrictions on arbitrary processes at the OS level, without requiring a container.

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asdfefbhjy/hysteria

Hysteria is a powerful, lightning fast and censorship resistant proxy.

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asdfefbhjy/agentflow

Orchestrate thousands of agents and harnesses as a graph programatically

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asdfefbhjy/ddHodge.jl

A Julia package for reconstructing the vector field components; potential, divergence, curl and Jacobian matrix in a data manifold (approximated attracting manifold) using sampled velocities.

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asdfefbhjy/flow_matching

A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

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asdfefbhjy/torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

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asdfefbhjy/torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

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asdfefbhjy/torchsde

Differentiable SDE solvers with GPU support and efficient sensitivity analysis.

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asdfefbhjy/mdanalysis

MDAnalysis is a Python library to analyze molecular dynamics simulations.

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asdfefbhjy/pyqpanda-algorithm

pyqpanda-algorithm 是由Origin Quantum开发的量子算法软件包,适配QPanda3框架,支持在金融、机器学习、组合优化、科学计算等领域广泛应用。现对算法包内13种关键算法开源,帮助用户快速提升开发效率。

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