TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
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TensorLayerX: A Unified Deep Learning and Reinforcement Learning Framework for All Hardwares, Backends and OS.
Implementation of "A Neural Algorithm of Artistic Style" by Tensorflow
Code for PaperRobot: Incremental Draft Generation of Scientific Ideas
[Reimplementation Antol et al 2015] Keras-based LSTM/CNN models for Visual Question Answering
Open, source-backed catalog of computer-use agents: reviewed papers, GUI models, datasets, benchmarks, tools, and reusable JSONL/SQLite data.
Awesome list of AI reverse engineering and rebuilds: what AI agents took apart and recreated, and which ones really used REA (Reverse Engineer Anything).
Official implementation of “UniForge3D: Joint 3D Reconstruction and Generation in a Shared Anchor-Guided Space.”
An easy-to-use and lightweight API wrapper for Censys APIs.
A framework for continual learning and recursive self-improvement through harness adapter evolution.
AI Agent Identity and Access Management and Inference Firewall
Python implementation of the rulefit algorithm
scikit-learn inspired API for CRFsuite
RELATE is an Environment for Learning And TEaching
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
TranslatedOne zero-dependency MCP gateway CLI for every server and agent skill. Token optimization, tool discovery and context compression: 71,929 -> 581 tokens (-99.2%, measured), schemas stay out of context. One config for Claude Code, Codex, Cursor, every agent. 561KB, pure Python. | Zero-dependency CLI: manages all MCP tools and skills, and tool discovery saves 99.2% of tokens.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Trading Environment(OpenAI Gym) + DDQN (Keras-RL)
Kotti is a high-level, Pythonic web application framework based on Pyramid and SQLAlchemy. It includes an extensible Content Management System called the Kotti CMS.
CMake LSP Implementation
This is a Pytorch implementation of the paper: Self-Supervised Graph Transformer on Large-Scale Molecular Data
Lightweight Claude Code statusLine: 5h/7d rate-limit usage, reset countdowns, model + context window, prompt-cache age — one line, 3 styles × 9 themes, daemon fast-mode
A lightweight Python SDK and CLI for evaluating recursive self-improvement (RSI) methods across agent benchmarks.
Fast, drop-in replacement for Python's uuid module, powered by Rust.
The official implementation of 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction (ICLR 2023)