Jianfengusa

Jianfengusa's Stars

• kf-liu/The-Art-of-Linear-Algebra-zh-CN

  Graphic notes on Gilbert Strang's "Linear Algebra for Everyone", 线性代数的艺术中文版, 欢迎PR.

  Language:PostScript4.4k445

• manokhina/leetcode-common-questions

  Python and C++ implementation of the problems from Clean Code Handbook - LeetCode 50 Common Interview Questions

  Language:Python339

• TILOS-AI-Institute/MLCAD-2023-FPGA-Macro-Placement-Contest

  Language:C++292

• arc-research-lab/CHARM

  CHARM: Composing Heterogeneous Accelerators on Versal ACAP Architecture

  Language:C++12017

• Accelergy-Project/micro22-sparseloop-artifact

  MICRO22 artifact evaluation for Sparseloop

  Language:Jupyter Notebook34

• nellie-wu/timeloop

  Language:C++11

• NVIDIA/cutlass

  CUDA Templates for Linear Algebra Subroutines

  Language:C++5.4k901

• accel-sim/accel-sim-framework

  This is the top-level repository for the Accel-Sim framework.

  Language:Python290110

• ucb-bar/cosa

  A scheduler for spatial DNN accelerators that generate high-performance schedules in one shot using mixed integer programming (MIP)

  Language:Python7317

• Xi-L/ParetoMTL

  Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning

  Language:Python12530

• cuhk-eda/cu-gr

  CUGR, VLSI Global Routing Tool Developed by CUHK

  Language:C++11839

• khanhtn1/csce605-public-s22

  Public testcases

  44

• isl-org/MultiObjectiveOptimization

  Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"

  Language:Python976171

• anyoptimization/pymoo

  NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

  Language:Python2.2k381

• ahmedfgad/GeneticAlgorithmPython

  Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

  Language:Python1.8k459

• Accelergy-Project/timeloop-accelergy-exercises

  Exercises for exploring the Fibertree, Timeloop and Accelergy tools

  Language:Jupyter Notebook7828

• ericjang/gumbel-softmax

  categorical variational autoencoder using the Gumbel-Softmax estimator

  Language:Jupyter Notebook425101

• GATECH-EIC/Auto-NBA

  [ICML 2021] "Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators" by Yonggan Fu, Yongan Zhang, Yang Zhang, David Cox, Yingyan Lin

  Language:Python143

• maestro-project/gamma

  Language:Python3218

• maestro-project/confuciux

  Language:Python305

• UCLA-VAST/AutoSA

  AutoSA: Polyhedral-Based Systolic Array Compiler

  Language:C++19131

• hlslibs/ac_ml

  Algorithmic C Machine Learning Library

  Language:Verilog206

• NVlabs/matchlib

  SystemC/C++ library of commonly-used hardware functions and components for HLS.

  Language:C++25343

• VLSIDA/OpenRAM

  An open-source static random access memory (SRAM) compiler.

  Language:Python812200

• mitshine/UVM-and-System-Verilog-Manual

  UVM and System Verilog Manuals

  3312

• NVlabs/timeloop

  Timeloop performs modeling, mapping and code-generation for tensor algebra workloads on various accelerator architectures.

  Language:C++32099

• maestro-project/maestro

  An analytical cost model evaluating DNN mappings (dataflows and tiling).

  Language:MATLAB17855

• jansel/opentuner

  An extensible framework for program autotuning

  Language:Python384114

• apache/tvm-vta

  Open, Modular, Deep Learning Accelerator

  Language:Scala24671

• apache/tvm

  Open deep learning compiler stack for cpu, gpu and specialized accelerators

  Language:Python11.6k3.4k