Pinned Repositories
2019
关于2019和2018年的一些东西
annotated_research_papers
This repo contains annotated research papers that I found really good and useful
arbitrary_pu
NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
awesome-reinforcement-learning-zh
中文整理的强化学习资料（Reinforcement Learning）
course-v3
The 3rd edition of course.fast.ai
CS224n-2019-solutions
Solutions for Stanford CS224n, winter, 2019
deep-pu-learning
Deep Learning with Positive and Unlabeled samples
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，近30万字。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
deeprm
Deep reinforcement learning for resource managment and job schedule. it is inspired by deeprm model and I will implement for in practical docker environment.
Duke-Tsinghua-MLSS-2017
Duke-Tsinghua Machine Learning Summer School 2017
stevenfyy's Repositories
stevenfyy/2019
关于2019和2018年的一些东西
stevenfyy/annotated_research_papers
This repo contains annotated research papers that I found really good and useful
stevenfyy/arbitrary_pu
NeurIPS'20 Paper: "Learning from Positive and Unlabeled Data with Arbitrary Positive Shift"
stevenfyy/course-v3
The 3rd edition of course.fast.ai
stevenfyy/CS224n-2019-solutions
Solutions for Stanford CS224n, winter, 2019
stevenfyy/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，近30万字。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
stevenfyy/deeprm
Deep reinforcement learning for resource managment and job schedule. it is inspired by deeprm model and I will implement for in practical docker environment.
stevenfyy/Efficient-GAN-Anomaly-Detection
stevenfyy/ExploratoryProgramming
stevenfyy/fastai
The fastai deep learning library, plus lessons and and tutorials
stevenfyy/ierg5350-assignment
stevenfyy/labelme
Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).
stevenfyy/learn2learn
A PyTorch Library for Meta-learning Research
stevenfyy/MADDPG_torch
The code for maddpg using pytorch
stevenfyy/maml_rl
Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
stevenfyy/multiagent-particle-envs
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
stevenfyy/nbdev
Create delightful python projects using Jupyter Notebooks
stevenfyy/NBdev4Lighttorch
A demo to note the import code sinpets, and also functions simply.
stevenfyy/oc-nn
Repository for the One class neural networks paper
stevenfyy/oyster
Implementation of Efficient Off-policy Meta-learning via Probabilistic Context Variables (PEARL)
stevenfyy/Practical-Deep-Learning-for-Coders-2.0
Notebooks for the "A walk with fastai2" Study Group and Lecture Series
stevenfyy/practicalAI
📚A practical approach to learning and using machine learning.
stevenfyy/PUlearning
Code for Positive-Unlabeled learning.
stevenfyy/pytorch-maml
An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta
stevenfyy/pytorch-maml-rl
Reinforcement Learning with Model-Agnostic Meta-Learning in Pytorch
stevenfyy/pytorch-meta
A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch
stevenfyy/rlkit
Collection of reinforcement learning algorithms
stevenfyy/solaris
CosmiQ Works Geospatial Machine Learning Analysis Toolkit
stevenfyy/StarCraft
Implementations of IQL, QMIX, VDN, COMA, QTRAN, MAVEN, CommNet, DyMA-CL, and G2ANet on SMAC, the decentralised micromanagement scenario of StarCraft II
stevenfyy/vedastr
A scene text recognition toolbox based on pytorch