Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]
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100 days of LLM inference engineering — daily posts, experiments, and visualizations
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
- machine-learning
- javascript
- python
- tensorflow
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
- convolutional-networks
- deep-learning
- yolo2
- realtime
Code for "High-Precision Model-Agnostic Explanations" paper
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.
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
Mostly experiments based on "Advances in financial machine learning" book
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.
⬛ Python Individual Conditional Expectation Plot Toolbox
- machine-learning
- interpretability
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
- epigenomics
- pattern-search
- data-visualization
- interactive-machine-learning
Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant
High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations
Exploring the space of drug combinations to discover synergistic drugs using Active Learning
Graviton: verify your TEAL program by experiment and observation
- algorand
- avm
- blockchain
- pyteal