Quantitative analysis, strategies and backtests
- quantitative-finance
- quantitative-trading
- portfolio-management
- risk-management
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Quantitative analysis, strategies and backtests
A library for debugging/inspecting machine learning classifiers and explaining their predictions
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.
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
Natural Gradient Boosting for Probabilistic Prediction
Synthetic data generators for tabular and time-series data
Koç University deep learning framework.
Instructional notebooks on music information retrieval.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
"Neural Turing Machine" in Tensorflow
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Precision Medicine Knowledge Graph (PrimeKG)
TensorFlow implementation of an arbitrary order Factorization Machine
Machine Learning toolbox for Humans
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
A series of machine learning tutorials for Torch7
food image to recipe with deep convolutional neural networks.
Mostly experiments based on "Advances in financial machine learning" book
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
Python package for Bayesian Machine Learning with scikit-learn API