PlumedSerpent's starred repositories
CPlusPlusThings
C++那些事
External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
FasterTransformer
Transformer related optimization, including BERT, GPT
SJTUThesis
上海交通大学 LaTeX 论文模板 | Shanghai Jiao Tong University LaTeX Thesis Template
Torch-Pruning
[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM / Diffusion / Transformers / YOLOv8 / CNNs
Awesome-Pruning
A curated list of neural network pruning resources.
micronet
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
awesome-model-quantization
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
awesome-chinese-legal-resources
📝 An Awesome Collection of Chinese Legal Dataset and Relevant Resources. 致力于收集全面的中文法律数据源
shrinkbench
PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.
APoT_Quantization
PyTorch implementation for the APoT quantization (ICLR 2020)
TensorRT-DETR
:zap::zap::zap:NVIDIA-阿里2021 TRT比赛 `二等奖` 代码提交 团队:美迪康 AI Lab :rocket::rocket::rocket:
UPFlow_pytorch
PyTorch implementation of UPFlow (unsupervised optical flow learning)
Zero-Haruhi
The plan which extend ChatHaruhi into Zero-shot Roleplaying model
2020-CCF-Crowd-Flow-Prediction
科技战疫-大数据公益挑战赛-DataFountain重点区域人群密度预测 第1名方案
Awesome-Crowd-Localization
Awesome Crowd Localization
Model_Compression_For_YOLOV3-V4
In this repository using the sparse training, group channel pruning and knowledge distilling for YOLOV4,
CUDA-GMM-MultiGPU
CUDA implementation of data clustering using expectation maximization with a Gaussian mixture model. Supports multiple GPUs on a single node.
ResNet38-Semantic-Segmentation
Semantic Segmentation Network based on ResNet38
PPE-Detection-Pose
Pose guided anchoring for detecting proper use of personal protective equipment
social-distance-detector
Winter of Code (WoC) projects and products related to Deep Fusion AI!
ggml-cuda-experiments
CUDA Experimients