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Browsing: coding
The short answer most comparison articles skip: these three tools are not competing for the same job. Before picking one, it helps to understand what each…
A Coding Implementation to Compress and Benchmark Instruction-Tuned LLMs with FP8, GPTQ, and SmoothQuant Quantization using llmcompressor
import subprocess, sys def pip(*pkgs): subprocess.check_call([sys.executable, “-m”, “pip”, “install”, “-q”, *pkgs]) pip(“llmcompressor”, “compressed-tensors”, “transformers>=4.45”, “accelerate”, “datasets”) import os, gc, time, json, math from pathlib import Path…
A Coding Guide Implementing SHAP Explainability Workflows with Explainer Comparisons, Maskers, Interactions, Drift, and Black-Box Models
print(“\n” + “=”*72) print(“PART 3: Interaction decomposition”) print(“=”*72) inter = tree_expl.shap_interaction_values(X_te.iloc[:500]) inter_abs = np.abs(inter).mean(0) diag = np.diagonal(inter_abs).copy() off = inter_abs.copy(); np.fill_diagonal(off, 0) main_share = diag.sum() /…
A Coding Implementation to Master GPU Computing with CuPy, Custom CUDA Kernels, Streams, Sparse Matrices, and Profiling
header(“6. RAW CUDA KERNEL — MANDELBROT”) mandel = cp.RawKernel(r”’ extern “C” __global__ void mandel(float xmin, float xmax, float ymin, float ymax, int W, int H, int…
A Coding Implementation to Portfolio Optimization with skfolio for Building Testing, Tuning, and Comparing Modern Investment Strategies
factor_prices = load_factors_dataset() X_full, F_full = prices_to_returns(prices, factor_prices) X_tr, X_te, F_tr, F_te = train_test_split( X_full, F_full, test_size=0.33, shuffle=False ) fm = MeanRisk( objective_function=ObjectiveFunction.MAXIMIZE_RATIO, risk_measure=RiskMeasure.VARIANCE, prior_estimator=FactorModel(), )…
A Coding Implementation to Build Agent-Native Memory Infrastructure with Memori for Persistent Multi-User and Multi-Session LLM Applications
banner(“Part 5 — Streaming”) mem.attribution(entity_id=”[email protected]”, process_id=”personal-assistant”) stream = client.chat.completions.create( model=MODEL, messages=[{“role”: “user”, “content”: “In two sentences, what do you remember about me?”}], stream=True, ) print(“[stream] “,…
A Coding Implementation to Recover Hidden Malware IOCs with FLARE-FLOSS Beyond Classic Strings Analysis
banner(“STEP 6 — 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 — GitHub Copilot, Claude Code, Gemini CLI — you have probably run into this situation: you describe…
# Introduction 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”)…
