Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
- hyperopt
- hyperparameter-optimization
- hyperparameter-tuning
- hyperparameters-optimization
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GLM 5.3 Uncensored — 35 jailbreak prompt files, model guide and API access. One RouterHub key also covers GPT, Claude, DeepSeek, Qwen and Grok.
- abliterated-models
- ai-api
- ai-jailbreaks
- anthropic-compatible
Fault-injected tool environments with side-effect grading for evaluating and post-training LLM agents
Test harness for voice agents. Import from Retell, VAPI, Bland, LiveKit. Run autonomous simulations. Evaluate with LLM judges.
- bland
- dspy
- livekit
- llm
⚡ JEval helps you to evaluate your JMeter test plan and provides recommendation before you start your performance testing. All contributions welcome 🙏.
- jmeter
- python
- performance
- performance-testing
HistoClean is a tool for the preprocessing and augmentation of images used in deep learning models. This easy to use application brings together the most popular image processing packages from across the python universe, meaning no more looking at documentation! HistoClean provides real time feedback to augmentations and preprocessing options. This allows users to evaluate their steps before implementation.
- image-processing
- images
- image-analysis
- deep-learning
A structured, multi-agent Claude Code learning environment for mastering Retrieval-Augmented Generation (RAG)
The repository host gives no description.
Evaluation of packer type estimation/detection tools
Code and data for the paper "Evaluating German Transformer Language Models with Syntactic Agreement Tests" (Zaczynska et al., 2020)
- bert
- transformers
- syntactic-agreement
- german
Open-source simulation harness for testing AI agents. Simulate LLM and tool calls to test edge cases, failure paths, and agent logic without live API calls.
- ai-agents
- ai-testing
- llm
- llm-evaluation
A Hackathon event platform to elegantly handle Hacker apps, with ready-made GraphQL and REST endpoints :sunglasses:
- hackathon
- registration
- hackathon-application
- competition
Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.