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TensorRT LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and supports state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT LLM also contains components to create Python and C++ runtimes that orchestrate the inference execution in a performant way.
Perfect Green Screen Keys
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗https://aka.ms/RD-Agent-Tech-Report
stock股票.获取股票数据,计算股票指标,筹码分布,识别股票形态,综合选股,选股策略,股票验证回测,股票自动交易,支持PC及移动设备。
The pytest framework makes it easy to write small tests, yet scales to support complex functional testing
Fully autonomous & self-evolving research from idea to paper. Chat an Idea. Get a Paper.
100 numpy exercises (with solutions)
ChatterBot is a machine learning, conversational dialog engine for creating chat bots
基于 Playwright 和AI实现的闲鱼多任务实时/定时监控与智能分析系统,配备了功能完善的后台管理UI。帮助用户从闲鱼海量商品中,找到心仪产品。
Osintgram is a OSINT tool on Instagram. It offers an interactive shell to perform analysis on Instagram account of any users by its nickname
Personal memory across agents
[CVPR 2025 Best Paper Award] VGGT: Visual Geometry Grounded Transformer
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely
Self-evolving agent: grows skill tree from 3.3K-line seed, achieving full system control with 6x less token consumption.
match command-line arguments to their help text
Project brief: A framework for building realtime voice AI agents. Use it to create conversational, multi-modal voice agents that can see, hear, and understand.
An open source implementation of CLIP.