active 2025-10-24 → 2025-11-03 (UTC)
Partial coverage11,309 / 12,130 hourly files (93%) · 2 absent upstream · 818 failed, retryable2025-03-23 → 2026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
71
Pushes
11
Pull requests
0
Issues
48
Stars
1
Forks
0
Activity over time
Daily event counts in the loaded window
Line chart, 11 days from 2025-10-24 to 2025-11-03. Pushes: 11 total, peak 10 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 48 total, peak 42 in a day. Comments: 11 total, peak 8 in a day. Stars: 1 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| akaszubski | 70 | 11 | 0 | 11 |
Recent activity
Latest issues, pull requests and releases
- Issue#55akaszubski2025-11-03 21:22Build custom evaluators for SKILL, EXPERIENCE, and CONTEXT dimensions
- Issue#54akaszubski2025-11-03 21:21Add safety testing: JailbreakBench and ToxiGen for CONSTRAINT dimension
- Issue#53akaszubski2025-11-03 21:21Integrate AlpacaEval for BEHAVIOR and PREFERENCE dimension testing
- Issue#53akaszubski2025-11-03 21:21Integrate AlpacaEval for BEHAVIOR and PREFERENCE dimension testing
- Issue#53akaszubski2025-11-03 21:21Integrate AlpacaEval for BEHAVIOR and PREFERENCE dimension testing
- Issue#52akaszubski2025-11-03 21:21Integrate EleutherAI lm-evaluation-harness for dimension-specific testing
- Issue#52akaszubski2025-11-03 21:21Integrate EleutherAI lm-evaluation-harness for dimension-specific testing
- Issue#52akaszubski2025-11-03 21:21Integrate EleutherAI lm-evaluation-harness for dimension-specific testing
- Issue#52akaszubski2025-11-03 21:21Integrate EleutherAI lm-evaluation-harness for dimension-specific testing
- Issue#51akaszubski2025-11-03 20:56End-to-End Training Validation: From Raw Data to Verified Model
- Issue comment#47akaszubski2025-11-03 20:35Complete MLX Pipeline: Training → Fine-Tuning → Inference
- Issue#45akaszubski2025-11-03 20:35Integrate MLX-DISTRIBUTED-TRAINING for Multi-Device Training
- Issue comment#45akaszubski2025-11-03 20:35Integrate MLX-DISTRIBUTED-TRAINING for Multi-Device Training
- Issue comment#45akaszubski2025-11-03 20:35Integrate MLX-DISTRIBUTED-TRAINING for Multi-Device Training
- Issue#48akaszubski2025-11-03 13:40Delegate all training methods to mlx-lm-lora
- Issue#47akaszubski2025-11-03 12:29Complete MLX Pipeline: Training → Fine-Tuning → Inference
- Issue#43akaszubski2025-11-03 12:12[v4.0] Advanced Distributed Features: Model Sharding and Pipeline Parallelism
- Issue#43akaszubski2025-11-03 12:12[v4.0] Advanced Distributed Features: Model Sharding and Pipeline Parallelism
- Issue#43akaszubski2025-11-03 12:12[v4.0] Advanced Distributed Features: Model Sharding and Pipeline Parallelism
- Issue#42akaszubski2025-11-03 12:12[v3.2] Production Readiness Documentation: When and How to Scale
- Issue#42akaszubski2025-11-03 12:12[v3.2] Production Readiness Documentation: When and How to Scale
- Issue#39akaszubski2025-11-03 12:11[v3.2] Checkpoint & Resume System for Long-Running Training Jobs
- Issue#39akaszubski2025-11-03 12:11[v3.2] Checkpoint & Resume System for Long-Running Training Jobs
- Issue#34akaszubski2025-11-03 10:18[v4.0] Add custom CUDA kernels for PyTorch backend
- Issue#34akaszubski2025-11-03 10:18[v4.0] Add custom CUDA kernels for PyTorch backend
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.