Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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Plumb a PDF for detailed information about each char, rectangle, line, et cetera — and easily extract text and tables.
- pdf-parsing
- table-extraction
This repository contains cutting-edge open-source security tools (OST) for a red teamer and threat hunter.
Agent Reinforcement Trainer: train multi-step agents for real-world tasks using GRPO. Give your agents on-the-job training. Reinforcement learning for Qwen3.6, GPT-OSS, Llama, and more!
TranslatedThe Modern JavaScript Tutorial, based on the latest ECMAScript specification, explains JavaScript knowledge from the basics to advanced topics through content that is simple but sufficiently detailed.
- javascript
- tutorial
- chinese
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
- wandb
- reinforcement-learning
- pytorch
- python
High-performance Protocol Buffers for JavaScript and TypeScript. Conformant through Edition 2026, and unusually versatile. No protoc required.
- javascript
- typescript
- protobuf
- protocol-buffers
Welcome to the AWS Code Examples Repository. This repo contains code examples used in the AWS documentation, AWS SDK Developer Guides, and more. For more information, see the Readme.md file below.
- aws
- documentation
- examples
- java
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
Accurately Locate Smartphones using Social Engineering
- geolocation
- longitude
- latitude
- accuracy
.NET (WPF and Windows Forms) bindings for the Chromium Embedded Framework
- cefsharp
- c-sharp
- c-plus-plus
- wpf
Nishang - Offensive PowerShell for red team, penetration testing and offensive security.
- powershell
- nishang
- security
- red-team
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
TranslatedOneForAll is a powerful subdomain collection tool
- subdomain
- subdomain-scanner
- subdomain-enumeration
- subdomain-bruteforcing
CoreNLP: A Java suite of core NLP tools for tokenization, sentence segmentation, NER, parsing, coreference, sentiment analysis, etc.
- natural-language-processing
- nlp
- nlp-parsing
- named-entity-recognition
Reinforcement learning resources curated
SANA & Sol: Efficient Generative Models and Full-Stack Training & Inference Engines for Image, Video, and World Modeling
- diffusion
- dit
- pytorch
- sana
A conforming Objective-C WebSocket client library.
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
- yolov9
TranslatedSimple Reinforcement learning tutorials, 莫烦Python (Mofan Python, "don't be annoyed Python") Chinese AI teaching
- reinforcement-learning
- tutorial
- q-learning
- sarsa
Easily fine-tune (SFT/RL), evaluate, and deploy Qwen, Gemma, or any open agentic LLM/VLM!
Common used path planning algorithms with animations.
- astar
- anytime-repairing-astar
- learning-realtime-astar
- realtime-adaptive-astar
Linux System Optimizer and Monitoring - https://oguzhaninan.github.io/Stacer-Web
- optimizer
- ubuntu
- system-information
- system
"Context engineering is the delicate art and science of filling the context window with just the right information for the next step." — Andrej Karpathy. A frontier, first-principles handbook inspired by Karpathy and 3Blue1Brown for moving beyond prompt engineering to the wider discipline of context design, orchestration, and optimization.