Machine Learning · GitHub

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

A Systems View of Efficient Machine Learning, from Silicon to Agents. Fourteen parts, from roofline analysis and vector units up through kernels, compilers, quantisation, compression, vision, on-device language models, robotics, profiling, serving and agents.

Build Custom Deep Neural Network Trainers in 2026: Open Source BuilT Guide

TinyML AI inference library

Pytorch implementation of convolutional neural network visualization techniques

Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

Готовая база из 5 881 ответа по 21 тесту hh.ru - сдать с первой попытки

Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀

• Remote DataFrames (documentation coming soon)
• Integration into Jupyter and Voila for interactive notebooks and dashboards

This is an open sourced book on deep learning.

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

Fast and differentiable MS-SSIM and SSIM for pytorch.

Pytorch implementation of the paper "Class-Balanced Loss Based on Effective Number of Samples"

Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.

An implementation of CycleGan using TensorFlow

A deep neural network architecture for low-latency audio processing

An interpretable foundation model of the patient clinical timeline: event forecasting, calibrated time-to-event alerts, and concept-level interpretability, benchmarked head-to-head against tuned GBMs, tabular foundation models, and survival baselines on MIMIC-IV, eICU, and GEMINI via the MEDS standard.

A list of useful Java frameworks, libraries, software and hello worlds examples