Sebastian-X

Sebastian-X's Stars

• georgia-tech-synergy-lab/SIGMA

  RTL implementation of Flex-DPE.

  Language:Verilog9127

• forthespada/CampusShame

  互联网仍有记忆！那些曾经在校招过程中毁过口头offer、意向书、三方的公司！纵然人微言轻，也想尽绵薄之力！

  3.3k163

• scalesim-project/scale-sim-v2

  Repository to host and maintain scale-sim-v2 code

  Language:Python23599

• 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.

  1.9k383

• openhwgroup/cva6

  The CORE-V CVA6 is an Application class 6-stage RISC-V CPU capable of booting Linux

  Language:Assembly2.3k697

• pulp-platform/ara

  The PULP Ara is a 64-bit Vector Unit, compatible with the RISC-V Vector Extension Version 1.0, working as a coprocessor to CORE-V's CVA6 core

  Language:C379133

• riscv-mcu/e203_hbirdv2

  The Ultra-Low Power RISC-V Core

  Language:Verilog1.3k344

• pulp-platform/pulp

  This is the top-level project for the PULP Platform. It instantiates a PULP open-source system with a PULP SoC (microcontroller) domain accelerated by a PULP cluster with 8 cores.

  Language:SystemVerilog456114

• YutingJiang/Digital_IC_Backend_Interview

  A collection of possible interview questions for ASIC PD position

  164

• xiaop1/Verilog-Practice

  HDLBits website practices & solutions

  Language:Verilog690178

• sin-x/FPGA

  数字IC相关资料

  987290

• huihut/interview

  📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。This repository is a summary of the basic knowledge of recruiting job seekers and beginners in the direction of C/C++ technology, including language, program library, data structure, algorithm, system, network, link loading library, interview experience, recruitment, recommendation, etc.

  Language:C++34.9k8k

• Eric-mingjie/rethinking-network-pruning

  Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

  Language:Python1.5k293

• raoyongming/DynamicViT

  [NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

  Language:Jupyter Notebook57572

• YifanXu74/Evo-ViT

  Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

  Language:Python695

• yhhhli/BRECQ

  Pytorch implementation of BRECQ, ICLR 2021

  Language:Python25456

• ShuoYang-1998/Few_Shot_Distribution_Calibration

  [ICLR2021 Oral] Free Lunch for Few-Shot Learning: Distribution Calibration

  Language:Python47370

• 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:Python20.8k3.1k

• facebookresearch/maskrcnn-benchmark

  Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

  Language:Python9.3k2.5k

• wuyuebupt/doubleheadsrcnn

  Rethinking Classification and Localization for Object Detection

  Language:Python7213

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.4k4.8k

• zdaxie/SpatiallyAdaptiveInference-Detection

  Spatially Adaptive Inference with Stochastic Feature Sampling and Interpolation, ECCV 2020 Oral

  Language:Python665

• CoinCheung/pytorch-loss

  label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

  Language:Python2.2k373