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Name: five568
Type: User
Name: five568
Type: User
Implementing 32 Verilog Mini Projects. 32 bit adder, Array Multiplier, Barrel Shifter, Binary Divider 16 by 8, Booth Multiplication, CRC Coding, Carry Select and Carry Look Ahead Adder, Carry Skip and Carry Save Adder, Complex Multiplier, Dice Game, FIFO, Fixed Point Adder and Subtractor, Fixed Point Multiplier and Divider, Floating Point IEEE 754 Addition Subtraction, Floating Point IEEE 754 Division, Floating Point IEEE 754 Multiplication, Fraction Multiplier, High Radix Multiplier, I2C and SPI Protocols, LFSR and CFSR, Logarithm Implementation, Mealy and Moore State Machine Implementation of Sequence Detector, Modified Booth Algorithm, Pipelined Multiplier, Restoring and Non Restoring Division, Sequential Multiplier, Shift and Add Binary Multiplier, Traffic Light Controller, Universal_Shift_Register, BCD Adder, Dual Address RAM and Dual Address ROM
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Documentation for Chinese ALTERA Cyclone IV EP4CE6 FPGA Development Board
HUST CS 19级组原课设/华中科技大学计算机组成原理课程设计/MIPS五段流水CPU/华中科技大学计算机组成原理课程设计/华科组原课设/MIPS-CPU/单周期/流水线/分支预测。来自学长的溺爱x,让你copy的明白。
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.
Must-have verilog systemverilog modules
BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization (ICLR 2021)
Examples using the Cyclone V SoC chip
deep learning for image processing including classification and object-detection etc.
Deep Learning System core principles introduction.
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
Project aimed at implementing floating point operators using the DSP48E1 slice.
Deprecated, please go to next generation Ultra-Low Power RISC-V Core https://github.com/riscv-mcu/e203_hbirdv2
The Ultra-Low Power RISC-V Core
A set of examples around MegEngine
帮助大家进行FPGA的入门,分享FPGA相关的优秀文章,优秀项目
FPGA Labs for EECS 151/251A (Fall 2021)
Generates Makefiles to synthesize, place, and route verilog using Vivado
Berkeley's Spatial Array Generator
This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is accepted to ICCV2021.
4 bits quantization of LLaMa using GPTQ
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
跟我一起写Makefile重制版
This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)
INT8 & FP16 multiplier accumulator (MAC) design with UVM verification completed.
The IPPro is a 16-bit signed fixed-point, five-stage balanced pipelined RISC architecture that exploits the DSP48E1 features and provides balance among performance, latency and efficient resource utilization.
Official implementation for paper "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.