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audio_processing

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

course_machine_learning

submissions of the course Pattern Recognition and Machine Learning

data_structure_and_algorithm_1

This is all code submissions for exercises, project 1 and project 2 of the course Data Structure and Algorithm taken during September-December/2023

deeppocket

Deep Graph Convolutional Reinforcement Learning for Financial Portfolio Management - DeepPocket

financial_mathematics

Code for the course Financial Mathematics

graph_algorithm

Submission for assignments of the course Algorithms for Graphs

hello-git-course

study git

lidar-bonnetal

Semantic and Instance Segmentation of LiDAR point clouds for autonomous driving

mlproject

Toolkit to quickly build Machine Learning projects

numerical_analysis

Submissions of the course Numerical Analysis

programming-2

pygop

PyGOP: a python package that implements various algorithms using Generalized Operational Perceptron

pytorch-vae

A Collection of Variational Autoencoders (VAE) in PyTorch.

qtrader

Reinforcement Learning for Portfolio Management

rtgcn

Relational Temporal Graph Convolutional Network for Ranking-based Stock Prediction

statistical_modelling_1

Submission of the course Statistical Modelling 1

stock-network

Visualize and analyze a complex network of S&P 500 stocks.

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai