Popular GitHub Repositories for Load Tests

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

QA via natural language AI tests

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

This is a project that unifies the management of LLM APIs. It can call multiple backend services through a unified API interface, convert them to the OpenAI format uniformly, and support load balancing. Currently supported backend services include: OpenAI, Anthropic, DeepBricks, OpenRouter, Gemini, Vertex, etc.

Intelligent enterprise-grade reference architecture for JavaScript, featuring OpenAI integration, Azure Developer CLI template and Playwright tests.

Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.

一个高性能的OpenAI格式API多密钥轮询代理服务器，支持负载均衡，使用 Go 语言开发。A high-performance OpenAI-compatible API proxy server with multi-key rotation and load balancing, built with Go.

Stateful load balancer custom-tailored for llama.cpp ??

Jupyter Notebooks for Springer book "Python for Probability, Statistics, and Machine Learning"

Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models

A program synthesis agent that autonomously fixes its output by running tests!

The High Performance Proxy/Load Balancer

The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX

Learn to serve Stable Diffusion models on cloud infrastructure at scale. This Lightning App shows load-balancing, orchestrating, pre-provisioning, dynamic batching, GPU-inference, micro-services working together via the Lightning Apps framework.

Library for Semi-Automated Data Science

Enabling easy statistical significance testing for deep neural networks.

stable diffusion multi-user django server code with multi-GPU load balancing

Save, Load Frozen Graph and Run Inference From Frozen Graph in TensorFlow 1.x and 2.x

gpttools extends gptstudio for package development to help you document code, write tests, or even explain code