ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
- character-animation
- digital-human
- humanoid
- humanoid-robots
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ProtoMotions is a GPU-accelerated simulation and learning framework for training physically simulated digital humans and humanoid robots.
BottleCRM: free, open-source (MIT) CRM with sales, support tickets and invoicing in one app. Unlimited users; self-host or use the hosted app.
verl-agent is an extension of veRL, designed for training LLM/VLM agents via RL. verl-agent is also the official code for paper "Group-in-Group Policy Optimization for LLM Agent Training"
A lightweight suite of motion imitation methods for training controllers.
GLM-4.6V/4.5V/4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
A modular RL library to fine-tune language models to human preferences
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)
ICCV2019 - Learning to Paint With Model-based Deep Reinforcement Learning
Reinforcement Learning in PyTorch
Portable AI agent orchestration with mechanical protocol enforcement. 186 agents, zero runtime dependencies.
Python Multi-Agent Reinforcement Learning framework
Bruteforce attack on Facebook account using python script
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
IAM Least Privilege Policy Generator
[RSS 2025] "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
A toolkit for reproducible reinforcement learning research.
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
gentle forced aligner