推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
- calibration
- causal-inference
- cold-start
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推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
Run AI models locally on your machine with node.js bindings for llama.cpp. Enforce a JSON schema on the model output on the generation level
Hack Instagram From Termux With Help of Tor
中文整理的强化学习资料(Reinforcement Learning)
A list of recent papers regarding deep reinforcement learning
The IDE for competitive programming :tada: | Fetch, Code, Compile, Run, Check, Submit :rocket:
Hacker tools on Go (Golang)
IAM Least Privilege Policy Generator
Force-directed graph rendered on HTML5 canvas
Multi-agent graph orchestration engine for building your own software factory. Bring your own QA workflow, and the engine enforces it.
[RSS 2025] "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
A toolkit for reproducible reinforcement learning research.
Reinforcement Learning environments based on the 1993 game Doom :godmode:
Force-directed graph layout using velocity Verlet integration.
Find web directories without bruteforce
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.
Command line utility for forced alignment using Kaldi
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
Clean PyTorch implementations of imitation and reward learning algorithms
⚡️ LWC - A Blazing Fast, Enterprise-Grade Web Components Foundation
gentle forced aligner
An offline deep reinforcement learning library
Local-first AI agent workspace for multi-agent collaboration, agent orchestration, scoped permissions, evidence-aware runs, and human-in-the-loop decisions.