JingyangXiang's Stars
MzeroMiko/VMamba
VMamba: Visual State Space Models,code is based on mamba
state-spaces/mamba
Mamba SSM architecture
NUS-HPC-AI-Lab/Neural-Network-Parameter-Diffusion
We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters
JingyangXiang/JingyangXiang.github.io
HazyResearch/meerkat
Creative interactive views of any dataset.
facebookresearch/mobile-vision
Mobile vision models and code
skyplane-project/skyplane
🔥 Blazing fast bulk data transfers between any cloud 🔥
pytorch/FBGEMM
FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/
amusi/CVPR2024-Papers-with-Code
CVPR 2024 论文和开源项目合集
horrible-dong/DNRT
[ICLR 2024] Dynamic Neural Response Tuning
ucbrise/cs294-rise-fa16
CS294 RISE Course Material
HuangOwen/Awesome-LLM-Compression
Awesome LLM compression research papers and tools.
locuslab/wanda
A simple and effective LLM pruning approach.
stanford-futuredata/stk
huggingface/peft
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
hahnyuan/RPTQ4LLM
Reorder-based post-training quantization for large language model
WANGBohaO-jpg/DR-GNN
[WWW2024] The official code for paper "Distributionally Robust Graph-based Recommendation System"
NUS-HPC-AI-Lab/DATM
ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
Guang000/Awesome-Dataset-Distillation
A curated list of awesome papers on dataset distillation and related applications.
NUS-HPC-AI-Lab/InfoBatch
Lossless Training Speed Up by Unbiased Dynamic Data Pruning
luosiallen/latent-consistency-model
Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference
plumerai/rethinking-bnn-optimization
Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"
implicitDeclaration/graph-guided-testing
Qualcomm-AI-research/oscillations-qat
kaixindelele/ChatPaper
Use ChatGPT to summarize the arXiv papers. 全流程加速科研,利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复
JingyangXiang/MaxQ
Pytorch implementation of our paper MaxQ: Multi-Axis Query for N:M Sparsity Network accepted by CVPR 2024.
MingSun-Tse/Efficient-Deep-Learning
Collection of recent methods on (deep) neural network compression and acceleration.
JunHao-Zhu/FusionQuery
[VLDB 2024] Source code for FusionQuery: On-demand Fusion Queries over Multi-source Heterogeneous Data
JingyangXiang/paper_reading
bobby-he/simplified_transformers