Example of "biological" learning for MNIST

🕷️ An adaptive Web Scraping framework that handles everything from a single request to a full-scale crawl! Don't be shy, join here: https://discord.gg/EMgGbDceNQ and follow here for daily tips and …

Adaptation of Superpower in the ML field

AAS Core is the local, agent-first control plane for complete catalog discovery, agent-owned selection, stack validation, and planning, backed by 2,445+ agentic skills. Includes CLI, local MCP, cat…

One Forge, All Skills: A curated skill collection for academic writing and research. 点开即用，按需配置的一站式学术研究skills平台。

Eligibility trace-based online learning for brain dynamics

🐧 一个更完整、更优雅的 Linux Clash / Mihomo 代理运行平台

MegEngine 是一个快速、可拓展、易于使用且支持自动求导的深度学习框架

Verification of Google DeepMind's AlphaEvolve 48-multiplication matrix algorithm, a breakthrough in matrix multiplication after 56 years.

[ICCV2025]LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching

cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.

CARLA: A Python Library to Benchmark Algorithmic Recourse and Counterfactual Explanation Algorithms

SyOPs counter for spiking neural networks

PyTorch Extension Library of Optimized Scatter Operations

Open3D: A Modern Library for 3D Data Processing

Spatial Sparse Convolution Library

帮助大家进行FPGA的入门，分享FPGA相关的优秀文章，优秀项目

how to optimize some algorithm in cuda.

PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations

[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Collection of papers on state-space models

[NeurIPS 2022] Online Training Through Time for Spiking Neural Networks

Corruption and Perturbation Robustness (ICLR 2019)

Deep and online learning with spiking neural networks in Python

Brain Dynamics Programming in Python