peilin-chen

peilin-chen's Stars

• xai-org/grok-1

  Grok open release

  Language:Python49.8k5922148.3k

• lucidrains/vit-pytorch

  Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

  Language:Python21.3k1562693.1k

• Megvii-BaseDetection/YOLOX

  YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

  Language:Python9.6k771.5k2.2k

• PeterL1n/BackgroundMattingV2

  Real-Time High-Resolution Background Matting

  Language:Python6.9k145197955

• ZHKKKe/MODNet

  A Trimap-Free Portrait Matting Solution in Real Time [AAAI 2022]

  Language:Python3.9k101207638

• isl-org/DPT

  Dense Prediction Transformers

  Language:Python2.1k4382262

• fengbintu/Neural-Networks-on-Silicon

  This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

  1.9k2993384

• vchoutas/smplify-x

  Expressive Body Capture: 3D Hands, Face, and Body from a Single Image

  Language:Python1.8k66224345

• yuezih/King-of-Pigeon

  计算机保研简历与文书实用模板

  1.8k16894

• DLLXW/data-science-competition

  该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖：kaggle, 阿里天池，华为云大赛校园赛，百度aistudio，和鲸社区，datafountain等

  Language:Python1.3k2235474

• dhm2013724/yolov2_xilinx_fpga

  A demo for accelerating YOLOv2 in xilinx's fpga pynq/zedboard

  Language:C80322126236

• dog-qiuqiu/FastestDet

  :zap: A newly designed ultra lightweight anchor free target detection algorithm， weight only 250K parameters， reduces the time consumption by 10% compared with yolo-fastest, and the post-processing is simpler

  Language:Python7841338135

• megvii-research/CREStereo

  Official MegEngine implementation of CREStereo(CVPR 2022 Oral).

  Language:Python503135961

• FrancescoSaverioZuppichini/glasses

  High-quality Neural Networks for Computer Vision 😎

  Language:Jupyter Notebook4391511235

• FrancescoSaverioZuppichini/ViT

  Implementing Vi(sion)T(transformer)

  3908657

• megvii-research/FQ-ViT

  [IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

  Language:Python31554648

• ibaiGorordo/CREStereo-Pytorch

  Non-official Pytorch implementation of the CREStereo(CVPR 2022 Oral).

  Language:Python22772243

• hahnyuan/PTQ4ViT

  Post-Training Quantization for Vision transformers.

  Language:Python19732526

• zhijieshen-bjtu/PanoFormer

  ECCV'2022 PanoFormer: Panorama Transformer for Indoor 360° Depth Estimation

  Language:Python11161211

• erihsu/INT_FP_MAC

  INT8 & FP16 multiplier accumulator (MAC) design with UVM verification completed.

  Language:Verilog842312

• peilin-chen/Zhulong-RISCV-CPU

  CPU Design Based on RISCV ISA

  Language:Verilog824020

• peilin-chen/hls_for_cnn_mnist

  【入门项目】这个仓库是用hls来实现手写数字识别CNN硬件(xilinx fpga)加速的代码

  Language:Python68109

• ngeorgis/pytorch_onnx_openvino

  Validation of the PyTorch -> ONNX -> Intel OpenVino workflow using pretrained ResNet-50

  Language:Jupyter Notebook454214

• decemberpei/openvino-ncs2-python-samples

  OpenVINO Inference Engine Python API sample code - NCS2

  Language:Python34137

• eddex/tiny-yolov3-on-intel-neural-compute-stick-2

  Train a tiny-YOLOv3 model with transfer learning on a custom dataset and run it with a Raspberry Pi on an Intel Neural Compute Stick 2

  Language:Jupyter Notebook21606

• JeremieGince/MNIST_classification_using_Quantum_Machine_Learning

  Project for McGill Physics Hackathon 2020

  Language:Python14100

• MrEliptik/Keras_to_TF_NCS2

  Keras to Tensorflow test for Neural Compute Stick 2

  Language:Python8215

• peilin-chen/cnn_accelerator

  【入门项目】基于PYNQ-Z2实现手写数字识别卷积神经网络硬件加速器

  Language:Verilog4001

• s01235/pynq-z2-yolo-Intel-Movidius-Neural-Compute-Stick

  Language:Jupyter Notebook3000

• peilin-chen/3d-photo-inpainting

  [CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

  Language:Python1000