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bert_binary_text_classification

Accompanying code for the Medium article

binance-futures-trading-bot

Technical Analysis driven Trading bot

binance_futures_bot

A bot that trades leveraged USDT futures markets on binance.

char-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

cikm-cup-2017

CIKM AnalytiCup 2017: Short-Term Precipitation Forecasting Based on Radar Reflectivity Images

cikm_analyticup_2017

CIKM AnalytiCup 2017 is an open competition that is sponsored by Shenzhen Meteorological Bureau, Alibaba Group and CIKM2017. Our team got the third place in the first phrase. And in the second phrase we got the fourth place.

compact-transformers

[Preprint] Escaping the Big Data Paradigm with Compact Transformers, 2021

convtransformertimeseries

Convolutional Transformer for time series

cs231n.github.io

Public facing notes page

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。

darts

A python library for easy manipulation and forecasting of time series.

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

deepmind-research

This repository contains implementations and illustrative code to accompany DeepMind publications

dl_with_pytorch

dnc

Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy

doing_bayesian_data_analysis

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

eat_pytorch_in_20_days

Pytorch🍊🍉 is delicious, just eat it! 😋😋

evolution

task, challenge, competitions...

fx-and-stock-market-predictions

ganhacks

starter from "How to Train a GAN?" at NIPS2016

generative-adversarial-networks-roadmap

The Roadmap to Learn Generative Adversarial Networks (GANs)

gluon-ts

GluonTS - Probabilistic Time Series Modeling in Python

google-research

Google Research

hko-7

Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

homemade-machine-learning

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

interesting-python

有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

kaggle-web-traffic

1st place solution

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

learn-regex

Learn regex the easy way