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Collider.club

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Curated knowledge cards from Collider.club

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This repository contains some heuristics that can be used when auditing smart contracts to get ideas for vulnerabilities/common pitfalls. The goal of this repository is not to list concrete vulnerabilities (there are already a lot of great resources for that, e.g. prior audit rep. Use it as a repeatable review, validation or hardening pass.

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Kaolin packages reusable building blocks from NVIDIA 3D research into a cohesive PyTorch API — continuously improving representation-agnostic physics simulation, fast conversions between representations, quaternion math, batched mesh and splat containers, I/O, visualization and m. Use it to build a structured path from fundamentals to hands-on practice.

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An interactive deep learning book with code, math, and discussions, based on the NumPy interface by Aston Zhang, Zachary C. Lipton, Mu Li, and Alexander J. Smola. With 900 pages, this seems to be one of the most comprehensive one-stop resources that goes from Linear Neural Networ. Use it to build a structured path from fundamentals to hands-on practice.

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First open-source project — fully-local on a single RTX 3090 (Qwen3.6-27B) — to report 95% SimpleQA (n=500) and 77% xbench-DeepSearch (n=100) on local hardware. See the r/LocalLLaMA announcement and the benchmark dataset. Use it as a repeatable review, validation or hardening pass.

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LNP/BP stands for "Bitcoin Protocol / Lightning Network Protocol". This repository covers standards & best practices for Layer 2+ in cases when they do not require soft- or hard-forks of the Bitcoin blockchain level and are not directly related to issues covered in Lightning Netw. Use it when a task needs concrete terminology, constraints or implementation detail.

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Heimdall is an advanced EVM smart contract toolkit specializing in bytecode analysis and extracting information from unverified contracts. Heimdall is written in Rust and is designed to be fast, modular, and more accurate than other existing tools. Use it to navigate the topic and choose relevant methods, papers or tools.

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This repository is a comprehensive collection of 300+ case studies from over 80 leading companies, showcasing practical applications and insights into machine learning (ML) system design. Companies like Netflix, Airbnb, and. Use it to navigate the topic and choose relevant methods, papers or tools.

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In this repository you can find semgrep rules that look for patterns of vulnerabilities in smart contracts based on actual DeFi exploits as well as gas optimization rules that can be used as a part of the CI pipeline. The rules are part of the semgrep registry under p/smart-contr. Use it to ground design choices in named patterns, trade-offs and examples.

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