Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.

Providing reproducibility in deep learning frameworks

深度学习入门教程, 优秀文章, Deep Learning Tutorial

A real-world dataset for EV-related research, e.g., spatiotemporal prediction and urban energy management.

[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods

Analysis and synthesis experiments for covariance propagation in neural networks

High-Resolution Image Synthesis with Latent Diffusion Models

5G Tookit provides a rich set of 3GPP standards compliant modules and libraries. These modules can be used for reseach and development on physical channels and procedures in uplink and downlink com…

Data manipulation and transformation for audio signal processing, powered by PyTorch

End-to-End Speech Processing Toolkit

RadChar is a synthetic radar signal dataset published in the proceedings of the 2023 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2023).

Open source code in the field of semantic communication.

RL-Wireless: Reinforcement learning-based resource allocation in wireless networks

Implementation of "Distributed Deep Joint Source-Channel Coding with Decoder-Only Side Information" paper (ICMLCN 2024)

A PyTorch-based toolkit for simulating communication systems

A WiFi Sensing project using the ESP32 CSI tool

DeepMIMO Toolchain: Bridging RayTracers and 5G/6G Simulators

Edge Impulse firmware for the Espressif ESP-EYE(ESP32) Development board

Source code for paper Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems

Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding

A Survey of Efficient Attention Methods: Hardware-efficient, Sparse, Compact, and Linear Attention

[NeurIPS'25 Spotlight] Adaptive Attention Sparsity with Hierarchical Top-p Pruning

Code for paper 'OFDM-guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels', IEEE TCCN

The official implementation of the paper "Is Attention Mechanism Effective? The Degeneration of Transformers into MLPs in Time Series Forecasting"

Vector Approximate Message Passing (VAMP)