haonantian924's starred repositories
MoneyPrinterTurbo
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
CO_ext_lab-CQU
重庆大学计组（硬综）拓展实验；
Digital-Design-Docs
Documentation for Digital Design course
LeNet-5-Quantized
This is an implementation for the LeNet-5 Network with a script for quantizing its weights to 8 bit unsigned integer
ZYNQ-NVDLA
NVDLA (An Opensource DL Accelerator Framework) implementation on FPGA.
DLR_Projects
Deep learning projects using DLR (Deep Learning Routines)
Takk_Zynq_Labs
This is just for Takk_Zynq_Labs test.
Vivado_Lenet5
Codesign of lenet5 implementation with Zedboard
A-framework-for-developing-Neural-Networks-in-hardware-accelerators
This framework was part of the Diploma thesis titled "Architectures and Implementations of the Neural Network LeNet-5 in FPGAs". The main goal of this thesis was to create a LeNet-5 implementation in an FPGA development board, but also form a reusable framework/workflow which can be modified to model and develop other Neural Networks as well.
LeNet-on-Zynq
Simulating implement of LeNet network on Zynq-7020 FPGA
FinalPro-CnnAcc
期末大作业of AIchip 2020
uestc-course
电子科技大学课程资料共享平台. Course material sharing platform of UESTC.
-Approximate-Computing-Techniques-for-Deep-Neural-Networks-
Approximate computing technique is very much useful for improving efficiency (approx double) and reducing energy consumption. We will be using different adders and multipliers for this purpose and comparing their energy consumption and accuracy. And we have implemented it on Field Programmable Gate Array (FPGA) and ZEDBoard.
verilog_mnist
run mnist with verilog