A curated list of Monte Carlo tree search papers with implementations.
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- machine-learning
- deep-learning
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A curated list of Monte Carlo tree search papers with implementations.
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Learn about a type of vulnerability that specifically targets machine learning models
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
Environment for reinforcement-learning algorithmic trading models
The MobileNet neural network using Apple's new CoreML framework
Sequence learning toolkit for Python
Framework and Library for Distributed Online Machine Learning
Machine Learning toolbox for Humans
Python package for stacking (machine learning technique)
Machine learning for Ruby
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
A roadmap describing the required skills, learning resources and sample tools to become an AI Engineer
A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.
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.
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
The ESP32-S3 bench guide as a React app: live pinout, lessons with interactive simulators, a code reader for the esp-labs firmware, and the bench log. In 11 languages.
A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).
Learn cloud security by building it! An open-source homelab teaching Zero Trust, DevSecOps, IaC, and cloud architecture from the ground up.
Simple structured learning framework for python
Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind
Remory: Learning Residual Memory for Context Compaction
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy