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jason08's Projects
paddle
PArallel Distributed Deep LEarning
papers
summary of ML papers I've read
parl
PARL A high-performance distributed training framework for Reinforcement Learning
pedestrian-attribute-recognition-paper-list
The paper list of person attribute recognition
physics-based-deep-learning
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
plotneuralnet
Latex code for making neural networks diagrams
practicalai
A practical approach to learning machine learning.
practical_rl
A course in reinforcement learning in the wild
prml
PRML algorithms implemented in Python
probabilistic-models
Collection of probabilistic models and inference algorithms
probabilistic-programming-and-bayesian-methods-for-hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pydata-notebook
利用Python进行数据分析 第二版 (2017) 中文翻译笔记
pyportfolioopt
Financial portfolio optimisation in python, including classical efficient frontier and experimental methods.
pysyft
A library for encrypted, privacy preserving deep learning
python
All Algorithms implemented in Python
python3webspider
Source File of My Book related to WebSpider
python_interview_question
关于python的面试题
pytorch-beginner
pytorch tutorial for beginners
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MixNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
pytorch-metric-learning
The easiest way to use metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
pytorchcv
A PyTorch-Based Framework for Deep Learning in Computer Vision
pytorchnlpbook
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://nlproc.info
pytorch_tutorial
PyTorch 1.0 Tutorial
qasystemonmedicalkg
A tutorial and implement of disease centered Medical knowledge graph and qa system based on it。知识图谱构建，自动问答，基于kg的自动问答。以疾病为中心的一定规模医药领域知识图谱，并以该知识图谱完成自动问答与分析服务。
rcpapers
Must-read papers on Machine Reading Comprehension
real-time-semantic-segmentation
lightweight and efficient cnn for semantic segmentation, my blog address:
recommendersystem-paper
This repository includes some papers that I have read or which I think may be very interesting.
rltf
Reinforcement Learning implementations and research prototyping in TensorFlow
rl_learn
我的强化学习笔记和学习材料:book: still updating ... ...
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