Remory: Learning Residual Memory for Context Compaction
- context-compaction
- inference
- llm-agents
- residual-memory
Repository Index
66,263 visible repositories in the index
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A curated list of Monte Carlo tree search papers with implementations.
- tree-search
- learning
- machine-learning
- deep-learning
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Environment for reinforcement-learning algorithmic trading models
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
- graph
- graph-sampling
- network-sampling
- random-walk
Sequence learning toolkit for Python
The MobileNet neural network using Apple's new CoreML framework
- core-ml
- machine-learning
- mobilenet
- ios
Framework and Library for Distributed Online Machine Learning
- machine-learning
- c-plus-plus
- ml
- distributed
Machine Learning toolbox for Humans
Python package for stacking (machine learning technique)
- stacking
- stacked-generalization
- explain-stacking
- stacking-tutorial
A roadmap describing the required skills, learning resources and sample tools to become an AI Engineer
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
- python
- machine-learning
- random-forest
- tensorflow
Machine learning for Ruby
- machine-learning
- rubyml
- automl
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.
Claudemy: an open-source alternative to Udemy and Coursera. Give Claude a topic, it researches the web and builds a course of 2-minute audio lessons with cited sources. A free Claude Code skill.
- ai-course-generator
- ai-education
- anthropic
- audio-lessons
A simple deep learning library for estimating a set of tags and extracting semantic feature vectors from given illustrations.
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).
- r
- learning-resources
- awesome
- awesome-list
Simple structured learning framework for python
Reproducing the results of "Playing Atari with Deep Reinforcement Learning" by DeepMind
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
oneAPI Data Analytics Library (oneDAL)
- onedal
- data-analysis
- oneapi
- machine-learning
Common Lisp machine learning library.
A curated list of deep learning resources for video-text retrieval.