Lists (7)
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WACV2018/TIP: Gabor Convolutional Networks
Code for the ICCV 2021 paper "Pixel Difference Networks for Efficient Edge Detection" (Oral).
Project on Vehicle Detection, Classification, and Counting. Done in python using OpenCV.
This project aims to count every vehicle (motorcycle, bus, car, cycle, truck, train) detected in the input video using YOLOv3 object-detection algorithm.
Simple vehicle detection and counting with python and open cv final test
A time series signal analysis and classification framework
EEG-based emotion classification using DEAP dataset
OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Modeling, training, eval, and inference code for OLMo
Data and tools for generating and inspecting OLMo pre-training data.
This is the official implementation of the 'SFOD: Spiking Fusion Object Detection'.
STBP is a way to train SNN with datasets by Backward propagation.Using this Repositories allows you to train SNNS with STBP and quantize SNNS with QAT to deploy to neuromorphological chips like Loi…
Deep Residual Learning in Spiking Neural Networks
Code for VPRTempo, our temporally encoded spiking neural network for visual place recognition.
[PokerEvent Benchmark Dataset & SNN-ANN Baseline, IEEE TCDS 2025] Official PyTorch implementation of "SSTFormer: Bridging Spiking Neural Network and Memory Support Transformer for Frame-Event based…
Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (ICCV2023)
Event-based Human Pose Tracking using Spiking Spatiotemporal Transformer
Optical Flow estimation from Event cameras and Spiking Neural Networks
PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)
This is the implementation of MLF & spiking DS-ResNet
An Energy-Efficient Spiking Neural Network for Finger Velocity Decoding for Implantable Brain-Machine Interface
Implementation of the dataset defined in Spiking Neural Networks for event-based action recognition: A new task to understand their advantage
Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)
code for generating data set ES-ImageNet with corresponding training code
[ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS
[ICCV2023] Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks