Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
- interpretability
- machine-learning
- data-science
- artificial-intelligence
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Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
General Assembly's 2015 Data Science course in Washington, DC
A curated list of Best Artificial Intelligence Resources
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
Code and slides of my YouTube series called "Audio Signal Proessing for Machine Learning"
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
cs231n assignments sovled by https://ghli.org
The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Neural question generation using transformers
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
food image to recipe with deep convolutional neural networks.
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Materials for GWU DNSC 6279 and DNSC 6290.
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Exercises for the lecture "Selected Topics in Audio Signal Processing"
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.