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Yufeng Yuan's starred repositories

text2vec

text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

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Explorer

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

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D4RL

A collection of reference environments for offline reinforcement learning

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BCQ

Author's PyTorch implementation of BCQ for continuous and discrete actions

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MuJoCo_RL_UR5

A MuJoCo/Gym environment for robot control using Reinforcement Learning. The task of agents in this environment is pixel-wise prediction of grasp success chances.

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surface-aggregator-module

Linux ACPI and Platform Drivers for Surface Devices using the Surface Aggregator Module over Surface Serial Hub (Surface Book 2, Surface Pro 2017, Surface Laptop, and Newer)

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linux-surface

Linux Kernel for Surface Devices

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dm_control

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

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ai-deadlines

:alarm_clock: AI conference deadline countdowns

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Policy-Gradient-Methods

Implementation of Algorithms from the Policy Gradient Family. Currently includes: A2C, A3C, DDPG, TD3, SAC

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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Conditional_Density_Estimation

Package implementing various parametric and nonparametric methods for conditional density estimation

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bullet3

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

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🙃 A delightful community-driven (with 2,300+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

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pytorch-a2c-ppo-acktr-gail

PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

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