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LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
A library for implementing hyperparameter optimization methods for machine learning and deep learning models.
facebookresearch/moco-v3
PyTorch implementation of the MoCo v3 unsupervised learning algorithm for feature representation.
facebookresearch/svoice
A PyTorch implementation of a voice separation algorithm for mixed audio with multiple speakers.
HappyCerberus/book-cpp-algorithms
A comprehensive collection of standard algorithms implemented in C++.
maudzung/Complex-YOLOv4-Pytorch
A PyTorch implementation of the Complex-YOLO 3D object detection algorithm for LiDAR point clouds.
ikostrikov/pytorch-a3c
PyTorch implementation of the Asynchronous Advantage Actor Critic (A3C) algorithm for deep reinforcement learning.
dorianbrown/rank_bm25
BM25 algorithms implementation in Python for information retrieval and ranking.
tkaitchuck/aHash
A non-cryptographic hashing algorithm using the AES hardware instruction, written in Rust.
kingfengji/gcForest
This is an open-source implementation of the deep forest machine learning algorithm for ensemble learning.
jonathan-laurent/AlphaZero.jl
A generic implementation of Deepmind's AlphaZero algorithm in Julia for developers
lithammer/fuzzysearch
A fast and lightweight fuzzy search library for Go that can be used to build search functionality.
k2-fsa/k2
A differentiable PyTorch-compatible library for working with finite-state automata and transducers.
jackaduma/awesome_LLMs_interview_notes
A collection of LLMs interview notes and answers for AI algorithm engineers.
TheAlgorithms/Ruby
A community-driven repository of algorithms and data structures implemented in Ruby.
opendilab/awesome-model-based-RL
A curated list of awesome resources for model-based reinforcement learning.
rongweihe/CPPNotes
A comprehensive C++ learning guide and interview preparation resource for developers.
LongOnly/Quantitative-Notebooks
Educational notebooks on quantitative finance, algorithmic trading, financial modeling, and investment strategy.
Auburn/FastNoise2
A modular, high-performance noise generation library using SIMD, C++17, and templates for procedural content creation.
jfkirk/tensorrec
A TensorFlow-based recommendation algorithm and framework for building recommendation systems in Python.
eliorc/node2vec
A Python implementation of the node2vec algorithm for learning embeddings from graph-structured data.
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