moonjian Goto Github PK

a-pytorch-tutorial-to-image-captioning

Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning

algorithms

Bug-tracking for Jeff's algorithms book, notes, etc.

attack_face_recognition

The implementation of AttackAI in Ali Tianchi Security Competition Phase One.

awesome-imbalanced-learning

A curated list of awesome imbalanced learning papers, codes, frameworks, and libraries. | 类别不平衡学习：论文、代码、框架与库

awesome-incremental-learning

Awesome Incremental Learning

awesome-lifelong-continual-learning

A list of papers, blogs, datasets and software in the field of lifelong/continual machine learning

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

backtrader_mj

Python Backtesting library for trading strategies

ccxt_mj

A JavaScript / TypeScript / Python / C# / PHP cryptocurrency trading API with support for more than 100 bitcoin/altcoin exchanges

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

commit-utterance

computer-networking-a-top-down-approach-notes

《计算机网络－自顶向下方法(原书第6版)》编程作业，Wireshark实验文档的翻译和解答。

core50

CORe50: a new Dataset and Benchmark for Continual Learning

cryptofeed_mj

Cryptocurrency Exchange Websocket Data Feed Handler

darts

Differentiable architecture search for convolutional and recurrent networks

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[email protected] 版权所有，违权必究 Tan 2018.06

enjoy_quant_lifestyle

factorhub_mj

gitalk

growth-ebook

Growth Engineering: The Definitive Guide。全栈增长工程师指南

hexo-theme-diaspora

Hexo theme, Blog theme, Clean, Responsive theme

icarl

mnemonics-training

PyTorch implementation of "Mnemonics Training: Multi-Class Incremental Learning without Forgetting"

moonjian.github.io

python_design_patterns

Classical Design Patterns implemented by Python.

pytorch-opcounter

Count the MACs / FLOPs of your PyTorch model.

quant_strategies

quantitative trading with Javascript, Python, C++, PineScript, Blockly, MyLanguage(麦语言)

reinforcemenglearningpractice

Reinforcement Learning Algorithm Package & PuckWorld, GridWorld Gym environments

stock

stock，股票系统。使用python进行开发。

tiny-webserver