PadrickLee

PadrickLee

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ASA-SNN

Offical implementation of "Inherent Redundancy in Spiking Neural Networks" (ICCV2023)

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MS-ResNet

Offical implementation of "Advancing Spiking Neural Networks towards Deep Residual Learning" (IEEE TNNLS 2024)

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Spike-Driven-Transformer-V2

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

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diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch and FLAX.

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event_representation

Event-based camera data representation and processing. Some common representations and reference codes.

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VIBE

Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

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TransT

Transformer Tracking (CVPR2021)

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Stark

[ICCV'21] Learning Spatio-Temporal Transformer for Visual Tracking

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learning_research

本人的科研经验

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Awesome-RL

A curated list of RL resources

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RWKV-LM

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

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EMS-YOLO

Offical implementation of "Deep Directly-Trained Spiking Neural Networks for Object Detection" (ICCV2023)

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Spike-Driven-Transformer

Offical implementation of "Spike-driven Transformer" (NeurIPS2023)

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Attention-SNN

Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)

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