JunbZhang's Stars
apachecn/Interview
Interview = 简历指南 + 算法题 + 八股文 + 源码分析
XIU2/Yuedu
📚「阅读」APP 自用书源(网络小说)
WenDesi/lihang_book_algorithm
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
hill-a/stable-baselines
A fork of OpenAI Baselines, implementations of reinforcement learning algorithms
sweetice/Deep-reinforcement-learning-with-pytorch
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
jdb78/pytorch-forecasting
Time series forecasting with PyTorch
higgsfield-ai/higgsfield
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
yangwohenmai/LSTM
基于LSTM的时间序列预测研究
boyu-ai/Hands-on-RL
https://hrl.boyuai.com/
tickmao/Novel
📚 Novle setting | 小说书源及软件整理 爱阅书香 / 阅读 / 香色闺阁
CN-GuoZiyang/My-RPC-Framework
一个简单的RPC框架的实现
yangwohenmai/DeepLearningForTSF
深度学习以进行时间序列预测
Kaixhin/ACER
Actor-critic with experience replay
ClownW/Reinforcement-learning-with-PyTorch
Reinforcement learning with PyTorch, inspired by MorvanZhou, change the framework from Tensorflow to PyTorch
wqk666999/CNN-LSTM-Attention
使用卷积神经网络-长短期记忆网络(bi-LSTM)-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to predict the closing price.
Fafa-DL/2021-ZJU-Machine-Learning
浙江大学机器学习
ki-ljl/LSTM-Load-Forecasting
Implementation of Electric Load Forecasting Based on LSTM(BiLSTM). Including Univariate-SingleStep forecasting, Multivariate-SingleStep forecasting and Multivariate-MultiStep forecasting.
dafrie/lstm-load-forecasting
Electricity load forecasting with LSTM (Recurrent Neural Network)
EthanChenYZ/Time-Series-Forecast
Codes for time series forecast
benjamingli/Electric-Load-Forecasting
基于LSTM的电力负荷预测
microsoft/oac-explore
Code accompanying the paper "Better Exploration with Optimistic Actor Critic" (NeurIPS 2019)
yc930401/Actor-Critic-pytorch
Actor Critic model to play Cartpole game
xuawai/TSFrame-time-series-forecasting
muyuuuu/Remote-Sensing-Semantic-Segmentation
超清遥感图像的语义分割,内附类别不平衡损失为何失效
ssw-nlp-study-group/nlp_study
alex-lindt/Variance-N-Step-Actor-Critic
Small research project that explores the variance in n-step actor-critic methods, conducted in the scope of the course "Reinforcement Learning" at the University of Amsterdam in 2019. Collaboration of Claartje Barkhof, Victoria Foing, David Biertimpel and Alexandra Lindt.
ClaartjeBarkhof/ReproducibilityLab_2019
xzhws/DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
rongyeshi/Advantage_Actor_Critic
spartrekus/beamer-simple-template
default, make presentation using Beamer (Texlive)