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GitHub repos gaining traction - what high-signal users are starring and what's climbing the board, captured daily and enriched from GitHub. Raw material for spotting new tech and patterns worth building on.
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9 repos
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Tutorial on probabilistic classification and cost-sensitive learning.
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Ask an open vision-language model typed questions about an image and get probabilities back, on your own machine.
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JevK5: open-weight alternative to TypeSafe Jev. Typed decisions with probabilities in one forward pass; Apache-2.0 weights and code.
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Non-autoregressive System 1 decision engine. Typed choice, score and yes/no decisions over any text in a single forward pass, in 100+ languages, with a router that picks the right checkpoint per request.
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Full-weight Qwen decision model with calibrated probabilities, training code, REST API, and playground.
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Calibrated 151M Non-Autoregressive Decision Engine beating TypeSafe Jev & Laya on LocalLLaMA/typed-decisions (77.10% acc, 0.0636 Brier, 0.0144 ECE)
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JevBench by Benchmark Heaven: benchmark and leaderboard for AI decision models, measuring typed decision accuracy, calibration, latency and cost.
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A single keypoint-based monocular 3D detector that generalizes across ego-vehicle, infrastructure, and aerial cameras without calibration, enabling plug-and-play V2X cooperative perception.
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KVarN is a native vLLM KV-cache quantization backend for your agents: 3-5x more context, throughput above FP16, and FP16-level accuracy. Calibration-free, one flag.