liyaangy Goto Github PK
Type: User
liyaangy's Projects
100-days-of-ml-code
100 Days of ML Coding
5g-ldpc
5g ldpc codes
a2c
A Clearer and Simpler Synchronous Advantage Actor Critic (A2C) Implementation in TensorFlow
a3c-pytorch
PyTorch implementation of Advantage async actor-critic Algorithms (A3C) in PyTorch
acm
包含 ACM模板-f_zyj v 2.1，以及个人平时训练的代码……
advanced-java
😮 互联网 Java 工程师进阶知识完全扫盲
agents
Efficient Batched Reinforcement Learning in TensorFlow
agents-1
TF-Agents is a library for Reinforcement Learning in TensorFlow
algorithm_interview_notes-chinese
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
alphazero_gomoku
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
angel
A Flexible and Powerful Parameter Server for large-scale machine learning
audiowaveform
C++ program to generate waveform data and render waveform images from audio files
awesome
:sunglasses: Curated list of awesome lists
awesome-deep-rl
For deep RL and the future of AI.
awesome-python-login-model
😮python模拟登陆一些大型网站，还有一些简单的爬虫，希望对你们有所帮助❤️，如果喜欢记得给个star哦🌟
awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
azure-sdr
SW SDR
bert
TensorFlow code and pre-trained models for BERT
biaxial-rnn-music-composition
A recurrent neural network designed to generate classical music.
bluefog
Distributed and decentralized training framework for PyTorch over graph
btle
Bluetooth Low Energy (BLE) packet sniffer and generator for both standard and non standard (raw bit).
caffe
Caffe: a fast open framework for deep learning.
capsgnn
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
continual_learning_papers
Relevant papers in Continual Learning
cs-notes
:books: 面试必备基础知识
data-science--cheat-sheet
Cheat Sheets
deep-learning-papers-reading-roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
deep-reinforcement-learning-algorithms-with-pytorch
PyTorch implementations of deep reinforcement learning algorithms and environments
deep-reinforcement-learning-for-dynamic-spectrum-access
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
deep-reinforcement-learning-in-large-discrete-action-spaces
Implementation of the algorithm in Python 3, TensorFlow and OpenAI Gym
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