A comprehensive content-addressable accelerator simulation framework.

Official Implementation of "Accel-GNN: High-Performance GPU Accelerator Design for Graph Neural Networks"

Implementation of Hinton's forward-forward (FF) algorithm - an alternative to back-propagation

A simple prompt-chatting AI based on wechaty and fintuned NLP model

🔨 用 JSON 来生成结构化的 SQL 语句，基于 Vue3 + TypeScript + Vite + Ant Design + MonacoEditor 实现，项目简单（重逻辑轻页面）、适合练手~

This script is for photographers to do timeslice with one click.

Windows system utilities to maximize productivity

A numpy-only implementation of a Convolutional Neural Network, from the ground up.

A simulator of Cache

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

ResNet model in TensorFlow

Training Deep Neural Networks with binary weights during propagations

a Neural Networks Quantization framework

Short-term Research @ University of Michigan Ann Arbor

A paper list of object detection using deep learning.

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Deep Residual Learning for Image Recognition

Brevitas: neural network quantization in PyTorch

Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"

Quantized Neural Networks - networks trained for inference at arbitrary low precision.

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

Feed forward neural network implemented using fixed-point number

Proposed solution of team DeepZ for 2018 DAC System Design Contest

Fixed Point Neural Network library in C

Using fixed-point arithmetic in a modern FPGA to produce cool sounds by modeling a 1970s-era Moog-like synthesizer.

💬 A better WeChat on macOS and Linux. Built with Electron by Zhongyi Tong.

Removing Camera Shake via Weighted Fourier Burst Accumulation