mufeili

mufeili's Stars

• mit-han-lab/streaming-llm

  [ICLR 2024] Efficient Streaming Language Models with Attention Sinks

  Language:Python6.3k6175355

• pytorch-labs/gpt-fast

  Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

  Language:Python5.2k6087469

• pengsida/learning_research

  本人的科研经验

  4.5k6519276

• state-spaces/s4

  Structured state space sequence models

  Language:Jupyter Notebook2.2k49128266

• punica-ai/punica

  Serving multiple LoRA finetuned LLM as one

  Language:Python856143738

• flashinfer-ai/flashinfer

  FlashInfer: Kernel Library for LLM Serving

  Language:Cuda709135956

• JiaxuanYou/graph-generation

  GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Models

  Language:Python6742016138

• pyg-team/pytorch-frame

  Tabular Deep Learning Library for PyTorch

  Language:Python464165049

• ChrisCummins/ProGraML

  A Graph-based Program Representation for Data Flow Analysis and Compiler Optimizations

  Language:C++2861014762

• sangyx/gtrick

  Bag of Tricks for Graph Neural Networks.

  Language:Jupyter Notebook2735718

• YuxinWenRick/tree-ring-watermark

  Language:Python21662526

• amazon-science/RefChecker

  RefChecker provides automatic checking pipeline and benchmark dataset for detecting fine-grained hallucinations generated by Large Language Models.

  Language:Python2078815

• louaaron/Score-Entropy-Discrete-Diffusion

  Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)

  Language:Python2044719

• dongzhuoyao/awesome-flow-matching

  A summary of related works about flow matching, stochastic interpolants

  140306

• justinlovelace/latent-diffusion-for-language

  Language:Python864158

• QingruZhang/PASTA

  PASTA: Post-hoc Attention Steering for LLMs

  Language:Python84275

• helblazer811/diffusion-visualizations

  Visualizations of the theory behind diffusion models.

  Language:Python582

• percyliang/sfig

  SVG/Javascript-based library for creating presentations/figures

  Language:JavaScript574158

• lydiawunan/HLS-Perf-Prediction-with-GNNs

  High-Level Synthesis Performance Prediction using GNNs: Benchmarking, Modeling, and Advancing

  38116

• tufts-ml/graph-generation-EDGE

  EDGE: Efficient and Degree-Guided Graph Generation via Discrete Diffusion Modeling

  Language:Python37775

• CownowAn/DiffusionNAG

  Official PyTorch implementation of "DiffusionNAG: Predictor-guided Neural Architecture Generation with Diffusion Models" (ICLR 2024)

  Language:Python25353

• cmu-l3/ntptutorial-II

  Neural theorem proving tutorial, version II

  Language:Jupyter Notebook225

• uoguelph-mlrg/GGM-metrics

  Official repository for the paper "On Evaluation Metrics for Graph Generative Models"

  Language:Jupyter Notebook22213

• awslabs/multi-table-benchmark

  Language:Python2121

• xavihart/PDM-Pure

  PDM-based Purifier

  Language:Python110

• Graph-COM/HEPT

  [ICML 2024] LSH-Based Efficient Point Transformer (HEPT)

  Language:Python104

• Graph-COM/Pair-Align

  Code for Pairwise Alignment Improves Graph Domain Adaptation (Pair-Align)

  Language:Python720

• rohanasthana/DiNAS

  Code for the paper- Multi-conditioned Graph Diffusion for Neural Architecture Search (https://openreview.net/forum?id=5VotySkajV)

  Language:Python71

• Graph-COM/NLB

  "No Need to Look Back: An Efficient and Scalable Approach for Temporal Network Representation Learning" by Yuhong Luo and Pan Li

  Language:Python410

• wellecks/multiset

  Loss Functions for Multiset Prediction

  Language:Python110