Popular GitHub Repositories for Timing

Using spiking neurons and spike-timing-dependent plasticity to classify the MNIST handwritten digits.

NGC-Learn: Neurobiological Learning and Biomimetic Systems Simulation in Python

Subtitle to audio, generate audio from any subtitle file using Coqui-ai TTS and synchronize the audio timing according to subtitle time.

SuperLearner guide: fitting models, ensembling, prediction, hyperparameters, parallelization, timing, feature selection, etc.

Records the keystroke timing data and creates a model. Applies learning algorithms and statistical models to differentiate between a valid user and an intruder

DeepRacer Vision Timer provides a vision-based AI automatic timing system and timer for offline competitions using AWS DeepRacer.

The codes of our paper When to Talk: Chatbot Controls the Timing of Talking during Multi-turn Open-domain Dialogue Generation

An Art-Deco ChatBot that utilizes RAG using performative Pulsejet vector database. Benchmarking of RAG vs. LLMs on QA and timing

Improve the timing of existing subtitles via various scripts.

Tricks your ELB into not timing out long running connections

Reinforcement Learning for Traffic Signal Optimization. We significantly reduce travel time compared to existing signal timing methods by training RL agents with omnipresent induction sensor data.

Use computer vision to help track runners

Interactive app that creates recipes and images with OpenAI ChatGPT based on user's input

A Python program written by CHAT-GPT4 to Take an image at a selected resolution and timing.

The goal of the project is to benchmark and optimize BERT inference using different backends—PyTorch eager mode, TorchDynamo (Inductor backend), and NVIDIA Triton Inference Server. We use GLUE SST-2 samples for evaluation and compare performance through profiling, kernel timing, and latency analysis.

Benchmark of timing for CCAO models on different hardware

The "Deep Q-Learning Agent for Traffic Signal Control" is an AI-driven solution that leverages Deep Q-Learning (DQL) to optimize traffic signal control at intersections. This project aims to address traffic congestion and improve traffic flow by training an intelligent agent to make real-time decisions for traffic signal timing.