ML
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Publication-ready NN-architecture schematics.
The WeightWatcher tool for predicting the accuracy of Deep Neural Networks
An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collec…
https://huyenchip.com/ml-interviews-book/
GPU-Jupyter: Your GPU-accelerated JupyterLab with a rich data science toolstack, TensorFlow and PyTorch for your reproducible deep learning experiments.
Ready-to-run Docker images containing Jupyter applications
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Example models using DeepSpeed
Fit interpretable models. Explain blackbox machine learning.
A playbook for systematically maximizing the performance of deep learning models.
General technology for enabling AI capabilities w/ LLMs and MLLMs
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
A library for helping developers craft prompts for Large Language Models