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asavinov/intelligent-trading-bot
An intelligent trading bot that generates signals and trades using machine learning and feature engineering.
dair-ai/Transformers-Recipe
A guide to learn about Transformer models, a foundational architecture for natural language processing.
Sroy20/machine-learning-interview-questions
This repository contains a collection of machine learning interview questions for developers to prepare for interviews.
justmarkham/DAT8
General Assembly's 2015 Data Science course covering topics like machine learning, data analysis, and data visualization.
lifting-bits/remill
Library for lifting machine code to LLVM bitcode for various architectures like x86, ARM, and SPARC.
moses-smt/mosesdecoder
This is a machine translation system, not a developer discovery platform for vibe coders.
scikit-learn-contrib/boruta_py
Python implementations of the Boruta all-relevant feature selection method for machine learning
ccheshirecat/flint
A lightweight tool for managing Linux virtual machines, focused on virtualization and cloud infrastructure.
microsoft/onnxruntime-inference-examples
Examples for using ONNX Runtime for machine learning inferencing.
datamade/usaddress
A Python library for parsing unstructured US addresses into structured address components.
cdipaolo/goml
On-line Machine Learning library in Go for building AI-powered applications.
kimono-koans/httm
Interactive, file-level Time Machine-like tool for ZFS/btrfs/nilfs2 backups and restores
pavlin-policar/openTSNE
Extensible, parallel implementations of the popular t-SNE dimensionality reduction algorithm for data visualization.
aws-samples/aws-machine-learning-university-accelerated-cv
A Jupyter Notebook-based course on accelerated computer vision using AWS Machine Learning University.
SciML/ModelingToolkit.jl
A Julia framework for acausal modeling, symbolic math, and parallelized scientific machine learning.
maciejczyzewski/libchaos
An advanced C++ library for randomization, hashing, and statistical analysis, useful for chaos-based applications.
kakaobrain/fast-autoaugment
Fast AutoAugment is an official PyTorch implementation for automatic data augmentation.
mit-han-lab/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, and Quantum Neural Networks.
brainflow-dev/brainflow
BrainFlow is a library for obtaining, parsing and analyzing data from various biosensors like EEG, EMG, ECG.
RQLuo/MixTeX-Latex-OCR
A Python-based multimodal OCR tool for efficient offline processing of LaTeX, ZhEn, and tables on Windows.
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