Pinned Repositories
-
12-nuaa-kids
acepy
Acepy is a python package for experimenting with different active learning settings and algorithms.
active-prompt
Source code for the paper "Active Prompting with Chain-of-Thought for Large Language Models"
actor_RL
LfOSA
midi
MuJoCo-PyTorch
PyTorch implementation of Vanilla PG, TNPG, TRPO, PPO on Mujoco environment
paper
simulate-evacuation
We make a simulated program which can simulate evacuation
ningkp's Repositories
ningkp/midi
ningkp/MuJoCo-PyTorch
PyTorch implementation of Vanilla PG, TNPG, TRPO, PPO on Mujoco environment
ningkp/actor_RL
ningkp/simulate-evacuation
We make a simulated program which can simulate evacuation
ningkp/-
ningkp/12-nuaa-kids
ningkp/acepy
Acepy is a python package for experimenting with different active learning settings and algorithms.
ningkp/actor_RL_continuous_control
ningkp/AlphaZero_Gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
ningkp/annotorious
Image Annotation for the Web - Annotorious Core Library
ningkp/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
ningkp/cpo
Constrained Policy Optimization
ningkp/cu_back
ningkp/DeepReinforcementLearning
A replica of the AlphaZero methodology for deep reinforcement learning in Python
ningkp/dm_control
The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.
ningkp/go-common
哔哩哔哩 bilibili 网站后台工程 源码
ningkp/Machine-Learning-Session
ningkp/machinelearning
My blogs and code for machine learning. http://cnblogs.com/pinard
ningkp/maze
ningkp/News
ningkp/PARL
PARL high-performance distributed reinforcement learning framework
ningkp/pytorch-center-loss
Pytorch implementation of Center Loss
ningkp/pytorch-cifar
95.16% on CIFAR10 with PyTorch
ningkp/robustness
Corruption and Perturbation Robustness (ICLR 2019)
ningkp/some_interesting_project
1. python爬虫爬取NUAA教务处照片 2. opencv+python人脸识别
ningkp/Yolo-digit-detector
Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.