Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
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Applying Machine Learning and AI Algorithms applied to Trading for better performance and low Std.
ashishpatel26
This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operations.
kevwan
A fast responsive, machine learning, conversational dialog engine for creating chat bots, written in Go.
Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or S…
agent-skills-hub
This skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and simi…
quantscious
An open-source, lightweight, and blazing-fast financial machine learning library built with Numba. Process raw trades, generate advanced bars, features, and labels for q…
kennethleungty
Notes for Machine Learning Engineering for Production (MLOps) Specialization course by DeepLearning.AI & Andrew Ng
trenton3983
Python-based Jupyter notebooks, notes, and project solutions from DataCamp courses on data science, machine learning, and statistics.
Machine learning models for time series analysis
InternLM
[ACL2024 Findings] Agent-FLAN: Designing Data and Methods of Effective Agent Tuning for Large Language Models
xandie985
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
alibaba
FeatHub - A stream-batch unified feature store for real-time machine learning
src-d
source{d} datasets ("big code") for source code analysis and machine learning on source code
RJT1990
A high-level, rapid development framework for machine learning projects
Code repository for the online course Feature Selection for Machine Learning
anish-lakkapragada
The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.