nmjirving

nmjirving's Stars

• AutoGPTQ/AutoGPTQ

  An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

  Language:Python4.1k416

• casper-hansen/AutoAWQ

  AutoAWQ implements the AWQ algorithm for 4-bit quantization with a 2x speedup during inference. Documentation:

  Language:Python1.4k161

• wandb/openui

  OpenUI let's you describe UI using your imagination, then see it rendered live.

  Language:TypeScript16.8k1.5k

• HKUDS/DCRec

  [WWW'2023] "DCRec: Debiased Contrastive Learning for Sequential Recommendation"

  Language:Python445

• RUCAIBox/CIKM2020-S3Rec

  Code for CIKM2020 "S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization"

  Language:Python23136

• RUCAIBox/FMLP-Rec

  9015

• KevinMusgrave/pytorch-metric-learning

  The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

  Language:Python5.9k655

• aksnzhy/xlearn

  High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

  Language:C++3.1k519

• modelscope/dash-infer

  DashInfer is a native LLM inference engine aiming to deliver industry-leading performance atop various hardware architectures, including x86 and ARMv9.

  Language:C++10011

• AaronHeee/Query-SeqRec

  PyTorch Implementation of Query-Aware Sequential Recommendation (CIKM'22)

  Language:Python111

• JennyXieJiayi/UnifiedSSR

  [WWW '24] UnifiedSSR: A Unified Framework of Sequential Search and Recommendation

  Language:Python61

• Ethan00Si/SESREC-SIGIR-2023

  The implementation of the SIGIR 2023 paper "When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation"

  Language:Python356

• TengShi-RUC/UniSAR

  The implementation of UniSAR

  Language:Python13

• antklen/sasrec-bert4rec-recsys23

  Code for ACM RecSys 2023 paper "Turning Dross Into Gold Loss: Is BERT4Rec really better than SASRec?"

  Language:Jupyter Notebook246

• OpenVLG/DELLA

  Official code for the NAACL 2022 paper "Fuse It More Deeply! A Variational Transformer with Layer-Wise Latent Variable Inference for Text Generation"

  Language:Python326

• kakaobrain/rq-vae-transformer

  The official implementation of Autoregressive Image Generation using Residual Quantization (CVPR '22)

  Language:Jupyter Notebook72479

• Caiyun-AI/DCFormer

  Language:Python13813

• KingGugu/Awesome-Contrastive-Learning-and-Data-Augmentation-RS-Paper-Code

  The latest research progress of Contrastive Learning(CL), Data Augmentation(DA) and Self-Supervised Learning(SSL) in Recommender Systems

  28222

• lhao499/language-quantized-autoencoders

  Language Quantized AutoEncoders

  Language:Python925

• vvvm23/vqvae-2

  PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

  Language:Python13017

• unslothai/unsloth

  Finetune Llama 3, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory

  Language:Python12.1k789

• vllm-project/vllm

  A high-throughput and memory-efficient inference and serving engine for LLMs

  Language:Python22k3.1k

• OFA-Sys/Chinese-CLIP

  Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

  Language:Python3.9k416

• YangLing0818/RPG-DiffusionMaster

  [ICML 2024] Mastering Text-to-Image Diffusion: Recaptioning, Planning, and Generating with Multimodal LLMs (PRG)

  Language:Jupyter Notebook1.6k90

• TencentQQGYLab/ELLA

  ELLA: Equip Diffusion Models with LLM for Enhanced Semantic Alignment

  Language:Python97449

• DefTruth/Awesome-LLM-Inference

  📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.

  1.9k131

• Tlntin/Qwen-TensorRT-LLM

  Language:Python53248

• NVIDIA/TensorRT-LLM

  TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

  Language:C++7.4k793

• RUCAIBox/LC-Rec

  Language:Python473

• tyxsspa/AnyText

  Official implementation code of the paper <AnyText: Multilingual Visual Text Generation And Editing>

  Language:Python4k263