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SeldonIO
Algorithms for explaining machine learning models
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Explore the skillSeldonIO
Algorithms for explaining machine learning models
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A collection of original, innovative ideas and algorithms towards Advanced Literate Machinery. This project is maintained by the OCR Team in the Language Technology Lab,…
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Explore the skillcoding-kitties
Framework for quantitative trading. Complete framework for development, backtesting, and deploying automated trading algorithms and trading bots.
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scikit-bio: a community-driven Python library for bioinformatics, providing versatile data structures, algorithms and educational resources.
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Explore the skillXinJingHao
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN, PPO, DDPG, TD3, SA…
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Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
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This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and simi…
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Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, sin…
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Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
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A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of…
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This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
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Explore the skillDLR-RM
Algorithms and Publications on 3D Object Tracking
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Explore the skillAlgoTraders
Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automat…
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Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratifie…
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In-memory caching in Golang using samber/hot — eviction algorithms (LRU, LFU, TinyLFU, W-TinyLFU, S3FIFO, ARC, TwoQueue, SIEVE, FIFO), TTL, cache loaders, sharding, stal…
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Explore the skillGen-Verse
[ICML 2026] RLAnything & DemyAgent: General and scalable agentic RL algorithms across terminal, GUI, SWE, and tool-call settings