Pinned Repositories
Actor_CriticPointer_Network-TSP
Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Optimization with Reinforcement Learning, Bello et al, 2016)
avayard.github.io
Convolutional-LSTM-in-Tensorflow
An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow
coupon
Python脚本实现抢券
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
dads
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
dotfiles
An elegant way to manage dotfiles, commands, completions, configurations for terminal players.
INFOCOM2021-submission
Ava4wonder's Repositories
Ava4wonder/Actor_CriticPointer_Network-TSP
Tensorflow implementation of an Actor Critic algorithm using a Pointer Network to solve the TSP (algorithm from Neural Combinatorial Optimization with Reinforcement Learning, Bello et al, 2016)
Ava4wonder/avayard.github.io
Ava4wonder/Convolutional-LSTM-in-Tensorflow
An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow
Ava4wonder/coupon
Python脚本实现抢券
Ava4wonder/CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
Ava4wonder/CycleGAN
Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
Ava4wonder/dads
Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.
Ava4wonder/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
Ava4wonder/dotfiles
An elegant way to manage dotfiles, commands, completions, configurations for terminal players.
Ava4wonder/INFOCOM2021-submission
Ava4wonder/iTerm2-Color-Schemes
Over 225 terminal color schemes/themes for iTerm/iTerm2. Includes ports to Terminal, Konsole, PuTTY, Xresources, XRDB, Remmina, Termite, XFCE, Tilda, FreeBSD VT, Terminator, Kitty, MobaXterm, LXTerminal, Microsoft's Windows Terminal, Visual Studio, Alacritty
Ava4wonder/LruCache.py
Implements LRU(Last-recently-used) cache algorithm, Support the thread safe, With Python
Ava4wonder/LSTM-Neural-Network-for-Time-Series-Prediction
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
Ava4wonder/Multi-view-Clustering
Ava4wonder/MultiViewLRSSC
Ava4wonder/my-vimrc
Ava4wonder/pylru
A least recently used (LRU) cache for Python
Ava4wonder/PySnooper
Never use print for debugging again
Ava4wonder/pytorch-dqn
Deep Q-Learning Network in pytorch (not actively maintained)
Ava4wonder/reinforcement-learning-notes
Survey on (Deep) Reinforcement Learning papers and algorithms
Ava4wonder/Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials
Ava4wonder/respeaker_for_raspberrypi
Examples to use ReSpeaker series Mic Arrays on Raspberry Pi
Ava4wonder/socialccnsim
Social CCN Sim is a CCN simulator, which represents interaction of users in a CCN network
Ava4wonder/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
Ava4wonder/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Ava4wonder/tensorflow-convlstm-cell
A ConvLSTM cell with layer normalization and peepholes for TensorFlow's RNN API.
Ava4wonder/trlx
A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)
Ava4wonder/video_req_0504.pkl