tlan95

tlan95's Stars

• Sp1keeeee/MaMadroid

  A new version used Androguard but not Soot to realize MaMadroid。

  Language:Python184

• Trustworthy-Software/Reproduction-of-Android-Malware-detection-approaches

  Language:Java318

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  27.2k2.3k

• vwxyzjn/cleanrl

  High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

  Language:Python5.7k641

• tinkoff-ai/CORL

  High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC

  Language:Python1.1k131

• thu-ml/tianshou

  An elegant PyTorch deep reinforcement learning library.

  Language:Python8k1.1k

• dair-ai/ml-visuals

  🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

  13.6k1.4k

• Developer-Y/cs-video-courses

  List of Computer Science courses with video lectures.

  67.2k9.1k

• linker81/Reinforcement-Learning-CheatSheet

  Cheatsheet of Reinforcement Learning (Based on Sutton-Barto Book - 2nd Edition)

  Language:TeX449

• sweetice/Deep-reinforcement-learning-with-pytorch

  PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

  Language:Python4k851

• ComputerVisionFans/CellNetUML

  Accepted by ICLR2021-Workshop AI4PH. This is the official implementation with training code for Cell Morphology Based Diagnosis of Cancer using Convolutional Neural Networks: CellNet.

  Language:Python3

• amusi/Deep-Learning-Interview-Book

  深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）

  7.6k1.3k

• udacity/artificial-intelligence

  Language:Python457476

• rlcode/per

  Prioritized Experience Replay (PER) implementation in PyTorch

  Language:Python30276

• udacity/workspaces-student-support

  Miscellaneous student support files for Udacity students using Workspaces

  Language:Python1826

• ShangtongZhang/reinforcement-learning-an-introduction

  Python Implementation of Reinforcement Learning: An Introduction

  Language:Python13.6k4.8k

• ShangtongZhang/DeepRL

  Modularized Implementation of Deep RL Algorithms in PyTorch

  Language:Python3.2k683

• BY571/Deep-Reinforcement-Learning-Algorithm-Collection

  Collection of Deep Reinforcement Learning Algorithms implemented in PyTorch.

  Language:Jupyter Notebook7314

• alirezamika/evostra

  A fast Evolution Strategy implementation in Python

  Language:Python27046

• udacity/DL_PyTorch

  Code for the Deep Learning with PyTorch lesson

  Language:Jupyter Notebook361370

• udacity/CVND_Exercises

  Exercise notebooks for CVND.

  Language:Jupyter Notebook762689

• udacity/deep-reinforcement-learning

  Repo for the Deep Reinforcement Learning Nanodegree program

  Language:Jupyter Notebook4.9k2.3k

• vdumoulin/conv_arithmetic

  A technical report on convolution arithmetic in the context of deep learning

  Language:TeX14.1k2.3k

• BY571/GARNE-Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration

  GARNE: Genetic-Algorithm-with-Recurrent-Network-and-Novelty-Exploration

  Language:Python125

• BY571/Upside-Down-Reinforcement-Learning

  Upside-Down Reinforcement Learning (⅂ꓤ) implementation in PyTorch. Based on the paper published by Jürgen Schmidhuber.

  Language:Jupyter Notebook7610