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A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
Sionna: An Open-Source Library for Research on Communication Systems
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
A small library for automatical adjustment of text position in matplotlib plots to minimize overlaps.
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Matplotlib Jupyter Integration
Apache Spark & Python (pySpark) tutorials for Big Data Analysis and Machine Learning as IPython / Jupyter notebooks
Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch
Generate images from texts. In Russian
Source code for my collection of articles on using pandas.
This repository provides an advanced Retrieval-Augmented Generation (RAG) solution for complex question answering. It uses sophisticated graph based algorithm to handle the tasks.
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
General Assembly's 2015 Data Science course in Washington, DC
[ICLR'24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Machine Learning University: Accelerated Computer Vision Class
A powerful tool for automated LLM fuzzing. It is designed to help developers and security researchers identify and mitigate potential jailbreaks in their LLM APIs.
Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
Single cell current best practices tutorial case study for the paper:Luecken and Theis, "Current best practices in single-cell RNA-seq analysis: a tutorial"
Toolbox repository for Tiger team
Seed1.5-VL, a vision-language foundation model designed to advance general-purpose multimodal understanding and reasoning, achieving state-of-the-art performance on 38 out of 60 public benchmarks.
Ipython notebook presentations for getting starting with basic programming, statistics and machine learning techniques
The official code repository for the second edition of the O'Reilly book Generative Deep Learning: Teaching Machines to Paint, Write, Compose and Play.
动手学数据分析以项目为主线，知识点孕育其中，通过边学、边做、边引导来得到更好的学习效果
A collection of 360+ Jupyter Python notebook examples for using Google Earth Engine with interactive mapping