技能目录

为 AI Agent 发现可复用技能。

按任务搜索真实的 GitHub 技能,并在使用前查看 Stars、信任、审计、分类和安装路径。

每个推荐都保留与其仓库、审计和安装路径的明确关联。

搜索结果: 1-bit

英文目录

Accessible large language models via k-bit quantization for PyTorch.

8.3K
Stars
81/100
信任
分类: ml-automation审计

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

3.4K
Stars
85/100
信任
分类: ml-automation审计

基于深度强化学习的开源自动因子工厂。

2.5K
Stars
78/100
信任
分类: finance审计

:house: My Home Assistant configuration, a bit different that others :) Be sure to :star2: this repository for updates!

2.0K
Stars
83/100
信任
分类: robotics-iot审计

Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch

1.9K
Stars
84/100
信任
分类: ml-automation审计

Secure boot for 32-bit Microcontrollers!

1.9K
Stars
80/100
信任
分类: robotics-iot审计

Z80-μLM is a 2-bit quantized language model small enough to run on an 8-bit Z80 processor. Train conversational models in Python, export them as CP/M .COM binaries, and chat with your vintage computer.

1.1K
Stars
74/100
信任
分类: support-automation审计

A Blocks / JavaScript code editor for the micro:bit built on Microsoft MakeCode

805
Stars
68/100
信任
分类: education审计

Operate Fluent Bit and Fluentd in the Kubernetes way - Previously known as FluentBit Operator

675
Stars
73/100
信任
分类: devops审计

Shenzhen MSU-BIT University PolarBear Team's Sentry Navigation Sim2Real Package for RoboMaster2025. QQ group: 932119307

379
Stars
70/100
信任
分类: robotics-iot审计

LLM-powered trading agents that turn plain natural language into a five-pillar strategy: Trend, Mean-Reversion, Momentum, Volume, and Risk. Each strategy is hosted, self-evolving, configurable through 30+ tunable parameters, and bit-exact between backtest and live execution. Built for simulated Hyperliquid perpetuals.

246
Stars
70/100
信任
分类: finance审计

Anaxa 是一个面向科研工作流的开源智能体系统。它不是单纯的聊天机器人,也不是无人监管的自动发论文机器,而是把文献检索、证据审计、实验执行、论文写作、同行评审式检查和最终产物打包放进同一个可追踪的研究生命周期中。

135
Stars
70/100
信任
分类: agent-frameworks审计