jessehamalainenaalto
Applied Mathematics student at Aalto University, Finland. I'm passionate about quantitative finance, machine learning, and mathematics in general.
Finland
jessehamalainenaalto's Stars
matteocourthoud/awesome-causal-inference
A curated list of causal inference libraries, resources, and applications.
firmai/financial-machine-learning
A curated list of practical financial machine learning tools and applications.
nmonath/hyperbolic_hierarchical_clustering
Code for: Gradient-based Hierarchical Clustering using Continuous Representations of Trees in Hyperbolic Space. Nicholas Monath, Manzil Zaheer, Daniel Silva, Andrew McCallum, Amr Ahmed. KDD 2019.
geoopt/geoopt
Riemannian Adaptive Optimization Methods with pytorch optim
lehaifeng/T-GCN
Temporal Graph Convolutional Network for Urban Traffic Flow Prediction Method
williamleif/GraphSAGE
Representation learning on large graphs using stochastic graph convolutions.
YangLinyi/FinNLP-Progress
NLP progress in Fintech. A repository to track the progress in Natural Language Processing (NLP) related to the domain of Finance, including the datasets, papers, and current state-of-the-art results for the most popular tasks.
rkohli3/TSMOM
Replication of Time Series Momentum strategy by Moskowtiz, Ooi, Pedersen, 2011.
KIC/pandas-ml-quant
Master repository for the pandas-ml modules
yhilpisch/rlfinance
The code used for the free quants@dev Webinar series on Reinforcement Learning in Finance
AI4Finance-Foundation/FinRL
FinRL: Financial Reinforcement Learning. 🔥
federicomariamassari/financial-engineering
Applications of Monte Carlo methods to financial engineering projects, in Python.
lballabio/QuantLib
The QuantLib C++ library
jeffheaton/t81_558_deep_learning
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
modfin/tap
Technical Analysis for Postgres
harvitronix/five-video-classification-methods
Code that accompanies my blog post outlining five video classification methods in Keras and TensorFlow
sagarvegad/Video-Classification-CNN-and-LSTM-
To classify video into various classes using keras library with tensorflow as back-end.
googleapis/python-automl
This library has moved to https://github.com/googleapis/google-cloud-python/tree/main/packages/google-cloud-automl
the-full-stack/fsdl-text-recognizer-project
Lab materials for the Full Stack Deep Learning Course
johntwk/Diebold-Mariano-Test
This Python function dm_test implements the Diebold-Mariano Test (1995) to statistically test forecast accuracy equivalence for 2 sets of predictions with modification suggested by Harvey et. al (1997).
eriklindernoren/Keras-GAN
Keras implementations of Generative Adversarial Networks.
fchollet/tensorflow
An Open Source Machine Learning Framework for Everyone
fchollet/deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
shap/shap
A game theoretic approach to explain the output of any machine learning model.
Rblp/Rblpapi
R package interfacing the Bloomberg API from https://www.bloomberglabs.com/api/
alpha-xone/xbbg
An intuitive Bloomberg API
VivekPa/AIAlpha
Use unsupervised and supervised learning to predict stocks
aamini/introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
braverock/quantstrat
Finance-781/FinML
Financial Machine Learning