Repository Index

TranslatedQuantitative research - replication of brokerage financial engineering research reports

• quant
• quantitative-finance
• stock-analysis
• trading-algorithms

An adversarial example library for constructing attacks, building defenses, and benchmarking both

• machine-learning
• security
• benchmarking

TranslatedTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 version introductory example code and hands-on tutorials.

• tensorflow
• tensorflow-examples
• tensorflow-tutorials
• tensorflow-2

Financial portfolio optimization in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

• finance
• portfolio-optimization
• portfolio-management
• quantitative-finance

250+ Fine-tuning & RL Notebooks for text, vision, audio, embedding, TTS models.

• unsloth

Performance analysis of predictive (alpha) stock factors

• finance
• python
• pandas
• numpy

Quantitative analysis, strategies and backtests

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

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

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

Complex code hides connections, workflows, and business risks.Unvibe complex code. Trace business workflows.

• business-logic
• code-analysis
• code-understanding
• codebase-analysis

ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.

TensorForce Bitcoin Trading Bot

Pathology Foundation Model - Nature Medicine

• foundation
• foundation-model
• histopathology
• mahmoodlab

Environment for reinforcement-learning algorithmic trading models

A knowledge graph and a set of tools for drug repurposing

• drug-repurposing
• knowledge-graph
• graph-neural-networks
• knowledge-graph-embeddings

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.

Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...

• benchmarks
• low-latency
• streaming

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

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.

• ai
• graphs
• synerise
• embeddings

Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.

This trading-gym is the first trading for agent to train with episode of short term trading itself.

Analysis of High Frequency Trading on Bitcoin exchanges

🏃 The go-to single-cell Foundation Model

• batch-correction
• cell-biology
• celltype-annotation
• denoising

a nose plugin for finding and running IPython notebooks as nose tests