Lists (8)
Stars
Offical implementation of "Spike-driven Transformer" (NeurIPS2023)
Offical implementation of "Attention Spiking Neural Networks" (IEEE T-PAMI2023)
Agent framework and applications built upon Qwen>=3.0, featuring Function Calling, MCP, Code Interpreter, RAG, Chrome extension, etc.
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
PyTorch implementations of deep reinforcement learning algorithms and environments
The code and the trained model for A Deep Q-Network for Robotic Odor/Gas Source Localization: Modeling, Measurement and Comparative Study
A Chinese edition of the Not So Short Introduction to LaTeX2ε
Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
GADEN: A 3D Gas Dispersion Simulator for Mobile Robot Olfaction in Realistic Environments
official pytorch implements for the experiments of paper "Rethinking Pretraining as a Bridge from ANNs to SNNs"
The source code of paper Human-Level Control through Directly-Trained Deep Spiking Q-Networks.
An elegant PyTorch deep reinforcement learning library.
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
Repository containing AI for Snake using CNN and DQN
Convert tensorflow model to pytorch model via [MMdnn](https://github.com/microsoft/MMdnn) for adversarial attacks.
Deeplab-resnet-101 in Pytorch with Jaccard loss
Simulation of spiking neural networks (SNNs) using PyTorch.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.