Class Activation Mapping

CNN visualization

Intro to Reinforcement Learning (强化学习纲要）

Pytorch implementation of convolutional neural network visualization techniques

[ICCV 2017] Torch code for Grad-CAM

Code for the ICLR 2022 paper. Salient Imagenet: How to discover spurious features in deep learning?

🙈A PyTorch implementation of the paper "Visualizing and Understanding Convolutional Networks." （ECCV 2014)

Example of Deconvnet in PyTorch for VGG16

PyTorch re-implementation of Grad-CAM (+ vanilla/guided backpropagation, deconvnet, and occlusion sensitivity maps)

[CVPR 2023] DepGraph: Towards Any Structural Pruning

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

A curated list of neural network pruning resources.

Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks

PyTorch implementation of "Pruning Filters For Efficient ConvNets"

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

Inference code for Llama models

Offical implementation of "Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips" (ICLR2024)

Code for temporal efficient training

Some methods for comparing network representations in deep learning and neuroscience.

This project used STBP-tdBN method to directly train Deep Spiking Neural Networks from scratch with PyTorch

Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)

Face recognition using Tensorflow

State-of-the-art 2D and 3D Face Analysis Project

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

[NeurIPS 2022] Online Training Through Time for Spiking Neural Networks

PyTorch implementation of the InfoNCE loss for self-supervised learning.

Automatically exported from code.google.com/p/weiyanmin

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Deep Spiking Neural Networks with High Representation Similarity Model Visual Pathways of Macaque and Mouse