An opinionated list of awesome Python frameworks, libraries, software and resources.

😎 Awesome lists about all kinds of interesting topics

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

A curated list of resources dedicated to Feature Engineering Techniques for Machine Learning

A list of tutorials, paper, talks, and open-source projects for emerging compiler and architecture

Unofficial PyTorch implementation of Denoising Diffusion Probabilistic Models

[WACV 2024] Spiking Denoising Diffusion Probabilistic Models

Denoising Diffusion Implicit Models

Denoising Diffusion Probabilistic Models

A complete computer science study plan to become a software engineer.

Python Library for Programming Competition

👩‍💻👨‍💻 AI 엔지니어 기술 면접 스터디 (⭐️ 1k+)

Plugin for Sinabs, implementing the EXODUS algorithm for training SNNs efficiently with BPTT

A deep learning library for spiking neural networks which is based on PyTorch, focuses on fast training and supports inference on neuromorphic hardware.

A paper list of spiking neural networks, including papers, codes, and related websites. 本仓库收集脉冲神经网络相关的顶会顶刊论文和代码，正在持续更新中。