Popular GitHub Repositories for Failure Rate

Easy-to-use,Modular and Extendible package of deep-learning based CTR models .

Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.

UpTrain is an open-source unified platform to evaluate and improve Generative AI applications. We provide grades for 20+ preconfigured checks (covering language, code, embedding use-cases), perform root cause analysis on failure cases and give insights on how to resolve them.

A machine learning toolkit for log-based anomaly detection [ISSRE'16]

? Enterprise-grade API gateway that helps you monitor and impose cost or rate limits per API key. Get fine-grained access control and monitoring per user, application, or environment. Supports OpenAI, Azure OpenAI, Anthropic, vLLM, and open-source LLMs.

HugeCTR is a high efficiency GPU framework designed for Click-Through-Rate (CTR) estimating training

? 大语言模型高效转发服务 · An efficient forwarding service designed for LLMs. · OpenAI API Reverse Proxy

Play deep learning with CIFAR datasets

WTTE-RNN a framework for churn and time to event prediction

Evaluate your speech-to-text system with similarity measures such as word error rate (WER)

Speech to Text to Speech. Song now playing. Sends text as OSC messages to VRChat to display on avatar. (STTTS) (Speech to TTS) (VRC STT System) (VTuber TTS)

Failure archive for ChatGPT and similar models

Chemical reaction network and systems biology interface for scientific machine learning (SciML). High performance, GPU-parallelized, and O(1) solvers in open source software.

log anomaly detection toolkit including DeepLog

Visualize Tensorflow's optimizers.

Remote heart rate detection through Eulerian magnification of face videos

Merge models with separate rate for each 25 U-Net block (input, middle, output). Extension for Stable Diffusion UI by AUTOMATIC1111

Fast and simple music and audio analysis using RNN in Python ?️‍♀️ ?

Gradient based Hyperparameter Tuning library in PyTorch

Python module for evaluating ASR hypotheses (e.g. word error rate, word recognition rate).