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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[email protected] 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

efficient-gan-anomaly-detection

exploratoryprogramming

face-genaration-using-generative-adversarial-network

This repository contains code for generating new faces using GANs. For this i have taken CelebA Dataset.

fastai

The fastai deep learning library, plus lessons and and tutorials

how_to_use_tensorboard_live

This is the code for the "How to Use Tensorboard" live session by Siraj Raval on Youtube

ierg5350-assignment

implementation_variational-auto-encoder

Simple implementation of Variational Autoencoder

labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

learn2learn

A PyTorch Library for Meta-learning Research

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

maddpg_torch

The code for maddpg using pytorch

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

mnist-for-numpy

A simple, easy to use MNIST loader written in Python 3

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

nbdev

Create delightful python projects using Jupyter Notebooks

nbdev4lighttorch

A demo to note the import code sinpets, and also functions simply.

neural_arithmetic_logic_units

This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube

neural_differential_equations

This is the code for "Neural DIfferential Equations" By Siraj Raval on Youtube

notes

Course notes

oc-nn

Repository for the One class neural networks paper