Repository Index

This repository contains demos I made with the Transformers library by HuggingFace.

• transformers
• pytorch
• bert
• vision-transformer

Code release for NeRF (Neural Radiance Fields)

• nerf
• neural-radiance-fields

🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022

• inpainting
• inpainting-methods
• inpainting-algorithm
• computer-vision

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

• h2o
• machine-learning
• data-science
• deep-learning

Toturials coming with the "data science roadmap" picture.

Performance analysis of predictive (alpha) stock factors

• finance
• python
• pandas
• numpy

Quantitative analysis, strategies and backtests

• quantitative-finance
• quantitative-trading
• portfolio-management
• risk-management

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

• data-science
• python
• dag
• data-engineering

Algorithms for outlier, adversarial and drift detection

• anomaly
• outlier
• concept-drift
• detection

Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.

• high-frequency-trading
• limit-order-book
• python
• machine-learning

Natural Gradient Boosting for Probabilistic Prediction

• machine-learning
• gradient-boosting
• natural-gradients
• uncertainty-estimation

WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.

• rag
• ai-agents
• alignment
• debugging

Synthetic data generators for tabular and time-series data

• gan-architectures
• gan
• deep-learning
• synthetic-data

TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

• medical-imaging
• medical-ai
• deep-learning
• machine-learning

TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data

Foundation Models for Genomics & Transcriptomics

• genomics
• deep-learning
• transformer
• dna

TensorForce Bitcoin Trading Bot

Use evolutionary algorithms instead of gridsearch in scikit-learn

Environment for reinforcement-learning algorithmic trading models

A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.

The repository host gives no description.

The codes I made while I practiced various TensorFlow examples

Mostly experiments based on "Advances in financial machine learning" book