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Browsing: coding
A Coding Implementation to Recover Hidden Malware IOCs with FLARE-FLOSS Beyond Classic Strings Analysis
banner(“STEP 6 โ IOC hunting in the deobfuscated strings”) PATTERNS = [ (“URL”, re.compile(r”https?://[^\s\”<>]+”)), (“IP”, re.compile(r”\b(?:\d{1,3}\.){3}\d{1,3}\b”)), (“PE/script”, re.compile(r”[A-Za-z0-9_]+\.(?:exe|dll|sys|ps1|bat)\b”, re.I)), (“Win32 API”, re.compile(r”\b(?:Reg(?:Open|Set|Create|Delete)Key(?:Ex)?A?|VirtualAlloc(?:Ex)?|CreateRemoteThread|WinExec|LoadLibraryA?|GetProcAddress|InternetOpenA?)\b”)), (“Registry”, re.compile(r”SOFTWARE\\\\?[A-Za-z0-9_\\\\]+”, re.I)), (“Base64-like”,…
Meet GitHub Spec-Kit: An Open Source Toolkit for Spec-Driven Development with AI Coding Agents
If you have spent time using AI coding agents โ GitHub Copilot, Claude Code, Gemini CLI โ you have probably run into this situation: you describe…
ย #ย Introduction ย OpenCode plugins are add-ons that extend the capabilities of the OpenCode AI coding agent. They provide extra tools, integrations, and workflow enhancements such as…
A Coding Guide to Survey Bias Correction Using Facebook Research Balance with IPW CBPS Ranking and Post Stratification Methods
fig, axes = plt.subplots(2, 2, figsize=(14, 10)) colors_a = [“gray”, “#1f77b4”, “#ff7f0e”, “#2ca02c”, “#d62728″][: len(asmd_means)] axes[0, 0].bar(list(asmd_means.keys()), list(asmd_means.values()), color=colors_a) axes[0, 0].axhline(0.1, ls=”–“, color=”red”, label=”0.10 imbalance threshold”)…
A Coding Implementation to Explore and Analyze the TaskTrove Dataset with Streaming Parsing Visualization and Verifier Detection
filename_counter: Counter = Counter() all_json_keys: Counter = Counter() samples_for_show: List = [] for i, row in enumerate(tqdm(ds_test, desc=”inspecting structure”, total=200)): if i >= 200: break p…
A Coding Guide on LLM Post Training with TRL from Supervised Fine Tuning to DPO and GRPO Reasoning
import subprocess, sys subprocess.check_call([sys.executable, “-m”, “pip”, “install”, “-q”, “-U”, “torchao>=0.16”, “trl>=0.20”, “transformers>=4.45”, “datasets”, “peft>=0.13”, “accelerate”, “bitsandbytes”, ]) import sys as _sys for _m in [m for…
A Coding Implementation to Parsing, Analyzing, Visualizing, and Fine-Tuning Agent Reasoning Traces Using the lambda/hermes-agent-reasoning-traces Dataset
In this tutorial, we explore the lambda/hermes-agent-reasoning-traces dataset to understand how agent-based models think, use tools, and generate responses across multi-turn conversations. We start by loading…
A Coding Implementation of End-to-End Brain Decoding from MEG Signals Using NeuralSet and Deep Learning for Predicting Linguistic Features
EPOCHS = 15 opt = torch.optim.AdamW(model.parameters(), lr=1e-3, weight_decay=1e-4) sched = torch.optim.lr_scheduler.CosineAnnealingLR(opt, T_max=EPOCHS) loss_fn = nn.MSELoss() hist = {“tr”: [], “va”: [], “r”: []} def pearson(a, b):…
A Coding Deep Dive into Agentic UI, Generative UI, State Synchronization, and Interrupt-Driven Approval Flows
In this tutorial, we build the entire Agentic UI stack from the ground up using plain Python, without relying on external frameworks to abstract away the…
A Coding Implementation on Pyright Type Checking Covering Generics, Protocols, Strict Mode, Type Narrowing, and Modern Python Typing
print(“=” * 62) print(“SECTION 9 ยท pyrightconfig.json”) print(“=” * 62) config = { “include”: [“src”], “exclude”: [“**/__pycache__”], “pythonVersion”: “3.11”, “typeCheckingMode”: “strict”, “reportMissingImports”: “error”, “reportMissingTypeStubs”: “warning”, “reportUnknownVariableType”:…
