yeqiao Goto Github PK

a-data-logging-system-via-fpga-and-test-it-with-arduino-atmega328p-microcontrolle

ai8x-synthesis

Quantization and Synthesis (Device Specific Code Generation) for Maxim AI Devices

ai8x-training

Model Training for Maxim AI Devices

aihwkit

IBM Analog Hardware Acceleration Kit

bag_of_tricks_for_image_classification_with_convolutional_neural_networks

experiments on Paper <Bag of Tricks for Image Classification with Convolutional Neural Networks> and other useful tricks to improve CNN acc

bi-real-net

Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2018 and IJCV

binary-networks-pytorch

Binarize convolutional neural networks using pytorch :fire:

bitnet

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

bonas

chisel3

Chisel 3: A Modern Hardware Design Language

cnns-exploration-on-cifar-10

UCI CS273A Project

customizable-hardware-image-filter-processor-base-on-altera-fpga

cvpr2022-papers-with-code

CVPR 2022 论文和开源项目合集

deep-compression-pytorch

PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by Song Han, Huizi Mao, William J. Dally

dnn-paper-for-undergraduates

eecs220p_papers

gem5_simple_exporation

gemmini

Berkeley's Systolic Array Generator

guinness

GUINNESS: A GUI-based binarized deep Neural NEtwork SyntheSizer toward an FPGA

halutmatmul

Hashed Lookup Table based Matrix Multiplication (halutmatmul) - Stella Nera accelerator

inference_results_v0.5

MLPerf Inference v0.5 Results

llama3

The official Meta Llama 3 GitHub site

llama_life_long_assist

Inference code for Llama models

llm-awq

[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

maestro

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

max78000_sdk

MAX78000 Device Software Development Kit

maximai_documentation

START HERE: Documentation for Maxim AI devices

mcunet

[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning

memtorch

A Simulation Framework for Memristive Deep Learning Systems

nas-papers

Paper list of network architecture search (NAS)