Training with FP16 weights in PyTorch
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Updated
Aug 7, 2019 - Python
Training with FP16 weights in PyTorch
🎓 2020 Undergraduate Graduation Project in Jiangnan University ALL codes including Data-convert, keras-Train, model-Evaluate and Web-App
ClimWIP allows to calculate & apply performance and independence weights to CMIP models
Utility tool for Intel(r) OpenVINO(tm) IR models. The tool can display detailed model information, layer information and can check compatibility. The tool also can extract weight data and feature map from the IR model.
CrowdGPT is an opensource AI that aims to be trained without any datacenters
Flow-driven recursive skill evolution for agentic LLM orchestration.
The Brain Collector: Find ML model weights inside Android
Computer Vision Basics to advanced. My journey through this subfield of AI
Quantization Aware Training
PXG-Tiny Ai - pixel sprites game asset generator. A 483K-param open-weights model that turns plain English prompts into 16×16 pixel-art sprites — ~1 MB NumPy weights, CPU-only, fully offline.
Template for Cog models with built-in model weights caching and CDN integration
tensorsentry
Pinned chess neural network weights and minimal model documentation.
Find the license landmines in a local AI stack — including the ones in the model weights. No dependencies, runs offline.
深度学习模型权重管理实验:用 SQLite 按 MD5 缓存与复用模型层权重,并附带基于 notekeras 的 YOLOv3 目标检测示例
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