Memory-efficient CTC loss with exact loss and first-order gradient equivalence under vocabulary reduction, and activation memory that no longer scales linearly with vocabulary size.
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+10
STARS · LAST 30 DAYS
1
PER DAY
#1,811
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +7 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +1 | +3 | +10 |
PrunedCTC gained 10 stars in the last 30 days, about 1 a day, and now has 121. It is about 1 year old and has averaged roughly 121 stars a year. It ranks #1,811 among Python repositories and #14,404 across all languages on GitHubRepo.
Trending Record
7
DAYS ON TRENDING
#1017
BEST RANK
Oct 7, 2026
FIRST APPEARANCE
Active
STATUS TODAY
PrunedCTC has maintained a continuous presence across global trending indexes, peaking at #1017. Below is the 30-day activity profile:
💡 Overview
PrunedCTC is an open-source project written in Python: Memory-efficient CTC loss with exact loss and first-order gradient equivalence under vocabulary reduction, and activation memory that no longer scales linearly with vocabulary size.
Engineered for speed, consistency, and developer ease, it solves common hurdles in Python. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install PrunedCTC⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
PrunedCTC coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Production System Integration
Embed PrunedCTC into Python backend services to handle core application logic.
CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.
Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.
Open Source Extension
Fork and customize internal modules under the repository's open MIT license.
🚀 Getting Started
Install PrunedCTC using your package manager: `pip install PrunedCTC`
Initialize your project workspace or configuration file for PrunedCTC.
Import PrunedCTC into your codebase or invoke it directly from your terminal.
Execute your test suite or run `PrunedCTC --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
yfyeung/PrunedCTC is currently ranked #14,404 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #14,369 | dadaloop82/EverShelf | PHP | ★ 122 | Compare ↗ |
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| #14,369 | inkeep/visimer | TypeScript | ★ 122 | Compare ↗ |
| #14,369 | ThinkFlowLab/vllm-rlt | Python | ★ 122 | Compare ↗ |
| #14,404 | yfyeung/PrunedCTC This Project | Python | ★ 121 | |
| #14,404 | TwP/bones | Ruby | ★ 121 | Compare ↗ |
| #14,404 | jm/context | Ruby | ★ 121 | Compare ↗ |
| #14,404 | drone29a/clojure-twitter | Clojure | ★ 121 | Compare ↗ |
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Frequently Asked Questions
What does PrunedCTC do? +
Memory-efficient CTC loss with exact loss and first-order gradient equivalence under vocabulary reduction, and activation memory that no longer scales linearly with vocabulary size.
What language is PrunedCTC written in? +
The primary language is Python. Topics include: software.
Is PrunedCTC actively maintained? +
Yes, the last recorded push was on Sep 30, 2026 with 1 open issues being tracked.
How many stars does PrunedCTC have? +
PrunedCTC has 121 stars and 3 forks on GitHub.
How does PrunedCTC rank among GitHub repositories? +
With 121 stars, yfyeung/PrunedCTC is ranked #14,404 globally across all repositories tracked on GitHubRepo and #1,811 among Python projects.
What license is PrunedCTC distributed under? +
The repository reports a MIT license. Always verify the repository LICENSE file for legal terms.
