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2020_day1_meng_lu

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

backtrader

Python Backtesting library for trading strategies

convlstm_pytorch

Implementation of Convolutional LSTM in PyTorch.

convolutional_lstm_pytorch

Multi-layer convolutional LSTM with Pytorch

data-cleaning-rmotr-freecodecamp

deep-learning-for-hackers

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

deep-q-trading-agent

Deep RL stock trading agent

demo-repo

Demo for Github intro video.

demo-repo2

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

dp

class1

evolvegcn

Code for EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

fastbook

The fastai book, published as Jupyter Notebooks

finrl

FinRL: The first open-source project for financial reinforcement learning. Please star. 🔥

flopy

A Python package to create, run, and post-process MODFLOW-based models.

forecasting_pm25_lstm

CS230 Deep Learning project forecasting PM2.5 pollution using weather data

freecodecamp-intro-to-numpy

freecodecamp-intro-to-pandas

freecodecamp-pandas-real-life-example

genetic-algorithms

This repository belongs to the youtube videos "What are Genetic Algorithms" (https://youtu.be/uQj5UNhCPuo) and "Genetic Algorithm from Scratch in Python" (https://youtu.be/nhT56blfRpE). If you haven't seen it, please consider watching part one of this series, to get a better understanding of this code.

geospatial-data-download-sites

This is the repo for open source geospatial data download sites.

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

gnn_cs224w

graphgym

Platform for designing and evaluating Graph Neural Networks (GNN)

groundwateroptimization

hello-world

Just another repository

highair

The source codes for HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method

kdd2018_air_pollution_prediction

KDD2018 CUP - Predicting air pollutants for next 48 hours in London and Beijing using Deep Learning

mars