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Xinqiang Ding (xqding)

xqding

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Home Page:xdinglab.com

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Xinqiang Ding's starred repositories

edm

Elucidating the Design Space of Diffusion-Based Generative Models (EDM)

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BayesMBAR

Bayesian Multistate Bennett Acceptance Ratio Method

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ThunderKittens

Tile primitives for speedy kernels

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review_response_letter

Template for Latex and/or Pandoc to quickly write reviews and (author) response letters

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Clarabel.jl

Clarabel.jl: Interior-point solver for convex conic optimisation problems in Julia.

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Clarabel.rs

Clarabel.rs: Interior-point solver for convex conic optimisation problems in Rust.

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geoopt

Riemannian Adaptive Optimization Methods with pytorch optim

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conditional-flow-matching

TorchCFM: a Conditional Flow Matching library

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ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

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scs

Splitting Conic Solver

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OpenABC

OpenMM implementation of MOFF, MRG-CG, and HPS models.

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riemannian-fm

code for "Riemannian Flow Matching on General Geometries".

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codellama

Inference code for CodeLlama models

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HyResII

HyRes II Coarse-Grained Protein Model

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diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

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blackjax

BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.

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llm

[Unmaintained, see README] An ecosystem of Rust libraries for working with large language models

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burn

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency and portability as its primary goals.

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audiocraft

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

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triton

Development repository for the Triton language and compiler

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theme-research-group

👥 轻松创建研究组或组织网站 Easily create a stunning Research Group, Team, or Business Website with no-code

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pccg

Potential Contrasting Coarse Graining

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slurm-utility

Utility scripts for common SLURM tasks, written for MIT LLSC

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polars

Dataframes powered by a multithreaded, vectorized query engine, written in Rust

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Turing.jl

Bayesian inference with probabilistic programming.

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AdvancedHMC.jl

Robust, modular and efficient implementation of advanced Hamiltonian Monte Carlo algorithms

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spice-dataset

A collection of QM data for training potential functions

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DynamicHMC.jl

Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.

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alchemlyb

the simple alchemistry library

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pytorch-GAT

My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!

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