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adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

ctgan

Conditional GAN for generating synthetic tabular data.

deep-reinforcement-learning-in-trading

detecting-stock-market-crashes-with-topological-data-analysis

employee-churn-predictive-model

Predicting Employee Churn with Supervised Machine Learning

finance_ml

Advances in Financial Machine Learning

fingpt

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.

hands-on-graph-neural-networks-using-python

Hands-On Graph Neural Networks Using Python, published by Packt

llm-course

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

machine-learning-for-asset-managers

Implementation of code snippets, exercises and application to live data from Machine Learning for Asset Managers (Elements in Quantitative Finance) written by Prof. Marcos López de Prado.

mamba

mamba-chat

Mamba-Chat: A chat LLM based on the state-space model architecture 🐍

minbpe

Minimal, clean, code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

ml_assetmanager

following code in the book by Marcos Lopez de Prado

mltrading

nanogpt

The simplest, fastest repository for training/finetuning medium-sized GPTs.

nlp_course

YSDA course in Natural Language Processing

numerai-experiments

Numerai Experiments

otus-public

Открытые материалы моего курса по машинному обучению (https://otus.ru/lessons/machinelearning)

pytorch-sentiment-analysis

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

pytorch-transformer

Attention is all you need implementation

pytorchgeometrictutorial

Pytorch Geometric Tutorials

quantcon2018

stocktrading

Stock Trading using Reinforcement Learning

sunday-quant-scientist

A Free Newsletter for Quantitative and Algorithmic Trading, Portfolio Analysis, and Investing

time-llm

[ICLR 2024] Official implementation of "Time-LLM: Time Series Forecasting by Reprogramming Large Language Models"

workcode

youtube-tutorials