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Browsing: Coding
df[“domain”] = df[“url”].apply(lambda u: urlparse(u).netloc.replace(“www.”, “”) if isinstance(u, str) else “?”) top_domains = df[“domain”].value_counts().head(15) print(“\n— Top 15 domains in sample —“) print(top_domains) fig, axes = plt.subplots(2,…
poi_gdf[“cx”] = poi_gdf.geometry.x poi_gdf[“cy”] = poi_gdf.geometry.y coords = poi_gdf[[“cx”, “cy”]].to_numpy() nn = NearestNeighbors(radius=150.0).fit(coords) poi_gdf[“local_density”] = [len(idx) – 1 for idx in nn.radius_neighbors(coords, return_distance=False)] if segments_gdf is…
Moonshot AI Releases Kimi K2.7-Code: a Coding Model Reporting +21.8% on Kimi Code Bench v2 Over K2.6
This week, Moonshot AI released Kimi K2.7-Code. It is a coding-focused, agentic model. The model weights ship on Hugging Face under a Modified MIT license. You…
In this tutorial, we build an end-to-end 3D medical image segmentation pipeline using MONAI to segment the spleen on the Medical Segmentation Decathlon Task09 dataset. We…
This week, Cohere AI team shipped its first developer-facing coding model named ‘North Mini Code‘. ‘North Mini Code’ is open-weight and focused at software engineers. It…
k = RUN_KNOBS train_out = run_cli([“python”,”scripts/train.py”,”–config”,CFG,”–split_dir”,SPLIT, “–optimizer_model”,OPTIMIZER_MODEL,”–target_model”,TARGET_MODEL,”–out_root”,RUN, *COMMON, “train.train_size=0″, f”train.num_epochs={k[‘num_epochs’]}”, f”train.batch_size={k[‘batch_size’]}”, f”gradient.minibatch_size={k[‘minibatch’]}”, f”gradient.merge_batch_size={k[‘merge_batch’]}”, f”gradient.analyst_workers={k[‘workers’]}”, f”optimizer.learning_rate={k[‘lr’]}”, f”optimizer.lr_scheduler={k[‘lr_sched’]}”, “optimizer.use_slow_update=true”, “optimizer.use_meta_skill=true”, f”env.workers={k[‘workers’]}”, f”env.limit={k[‘limit’]}”], “TRAIN (rollout->reflect->aggregate->select->update->gate; slow-update + meta-skill)”) import…
Development has shifted from typing code by hand to describing intent and letting agents do the work. Today’s tools plan tasks, edit across files, run tests,…
TEXT_COL = “skill_md_content” NUM_COLS = [“skillspector_score”, “static_finding_count”, “skillspector_issue_count”, “virustotal_malicious_count”] TARGET = “clawscan_verdict” def prep(df): out = df.copy() out[TEXT_COL] = out[TEXT_COL].fillna(“”).astype(str).str.slice(0, 6000) for c in NUM_COLS: out[c]…
AI-first development is changing how software gets built. A new approach called “vibe coding” sits at the center of that shift. Developers describe what they want…
Moonshot AI has released Kimi Code CLI, an open-source coding agent that runs in the terminal. The tool reads and edits code, runs shell commands, searches…
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