algorithm

LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

October 24, 2020

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
TesseractCoding/NeoAlgo

TesseractCoding/NeoAlgo

October 19, 2020

Bringing all Data Structures and Algorithms under one Roof
stefan-jansen/machine-learning-for-trading

stefan-jansen/machine-learning-for-trading

June 24, 2020

Notebooks, resources, and references accompanying the book Machine Learning for Algorithmic Trading
Cyan4973/xxHash

Cyan4973/xxHash

June 13, 2020

Extremely fast non-cryptographic hash algorithm
anopara/genetic-drawing

anopara/genetic-drawing

June 3, 2020

A genetic algorithm toy project for drawing
DLR-RM/stable-baselines3

DLR-RM/stable-baselines3

May 20, 2020

PyTorch version of Stable Baselines, improved implementations of reinforcement learning algorithms.
giangtranml/ml-from-scratch

giangtranml/ml-from-scratch

March 26, 2020

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.
google-research/seed_rl

google-research/seed_rl

March 15, 2020

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED’s architecture.
YunYang1994/TensorFlow2.0-Examples

YunYang1994/TensorFlow2.0-Examples

February 23, 2020

difficult algorithm, simple code.
ayooshkathuria/pytorch-yolo-v3

ayooshkathuria/pytorch-yolo-v3

February 18, 2020

A PyTorch implementation of the YOLO v3 object detection algorithm
hackthemarket/gym-trading

hackthemarket/gym-trading

February 11, 2020

Environment for reinforcement-learning algorithmic trading models
rushter/MLAlgorithms

rushter/MLAlgorithms

February 1, 2020

Minimal and clean examples of machine learning algorithms implementations
microsoft/LightGBM

microsoft/LightGBM

January 27, 2020

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
williamfiset/Algorithms

williamfiset/Algorithms

January 27, 2020

A collection of algorithms and data structures
DEAP/deap

DEAP/deap

December 7, 2019

Distributed Evolutionary Algorithms in Python
quantopian/zipline

quantopian/zipline

December 2, 2019

Zipline, a Pythonic Algorithmic Trading Library
openai/gym

openai/gym

November 24, 2019

A toolkit for developing and comparing reinforcement learning algorithms.
seungeunrho/minimalRL

seungeunrho/minimalRL

November 15, 2019

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
zuoxingdong/lagom

zuoxingdong/lagom

November 12, 2019

lagom: A PyTorch infrastructure for rapid prototyping of reinforcement learning algorithms.
STVIR/pysot

STVIR/pysot

November 8, 2019

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.
SeldonIO/alibi

SeldonIO/alibi

November 6, 2019

Algorithms for monitoring and explaining machine learning models
damianmoore/photonix

damianmoore/photonix

November 1, 2019

This is a new web-based photo management application. Run it on your home server and it will let you find the right photo from your collection on any device. Smart filtering is made possible by object recognition, location awareness, color analysis and other ML algorithms.