stevenbot's repositories
ArxivDaily
parse arxiv papers and push it to notion
LLM-Agents-Papers
A repo lists papers related to LLM based agent
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
LLM-Agent-Paper-List
The paper list of the 86-page paper "The Rise and Potential of Large Language Model Based Agents: A Survey" by Zhiheng Xi et al.
Epidemic
Main code and data for paper "Evaluating Intervention Strategies with A Fine-grained Artificial Society towards Pareto Optimum"
deep_rl
PyTorch implementations of Deep Reinforcement Learning algorithms (DQN, DDQN, A2C, VPG, TRPO, PPO, DDPG, TD3, SAC, ASAC, TAC, ATAC)
HelloworldBlockchain
HelloworldBlockchain是一个Helloworld级别的区块链公链系统。HelloworldBlockchain是一个Helloworld级别的数字货币项目。
DeepRL
Deep Reinforcement Learning Lab, a platform designed to make DRL technology and fun for everyone
submodular
Project code for submodular optimization with routing constraints
fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
ZOOpt
A python package of Zeroth-Order Optimization (ZOOpt)
ALiPy
ALiPy: Active Learning in Python is an active learning python toolbox, which allows users to conveniently evaluate, compare and analyze the performance of active learning methods.
pymc3
Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Theano
bayespy
Bayesian Python: Bayesian inference tools for Python
bayesian-coresets
Automated Scalable Bayesian Inference
T-LSTM
Time-Aware LSTM
Python-100-Days
Python - 100天从新手到大师
Virgilio
Your new Mentor for Data Science E-Learning.
Python
All Algorithms implemented in Python
Active-Learning
Query-by-committee(QBC)
Data-Science--Cheat-Sheet
Cheat Sheets
kqbc.python
This is a python implementation of Query By Committee Made Real by Gilad-Bachrach et al.
SmartContract4SLA
This is a prototype implementation of smart contracts for SLA. It is based on Ethereum.
COMOB-Toolbox
COMOB (COntaminat MOnitoring in Buildings), a MATLAB toolbox which encapsulates the CONTAM computational engine for generating multiple data sets by varying different building parameters. State-of-the-art algorithms for sensor placement, detection and isolation of contaminant sources are also incorporated into the COMOB toolbox.
DRL-FlappyBird
Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)