39 results for “topic:comet-ml”
🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴
Examples of Machine Learning code using Comet.ml
Questions, Help, and Issues for Comet ML
Comet-For-MLFlow Extension
LLM Evaluation and Observability System for Football Content
End-to-End Speech Recognition Training with Conformer CTC using PyTorch Lightning⚡
AI Agent built with Google ADK that leverages Google Maps MCP Server to answer real-world location questions with tool usage and traceable execution via Opik.
Enchanter is a library for machine learning tasks for comet.ml users.
Comet Java SDK
No description provided.
This work aims to classify the occurrence of a feedback error, i.e., the perception of an error by a user interacting with a Brain-Computer Interface (BCI). To achieve that, Convolutional Neural Network (CNN) models are developed.
End-to-end text classification project with Transformers, Comet ML, and Gradio
A collection of Jupyter notebook experiments and applications centered around Generative AI with LLMs.
Python3 SDK for comet.ml
A simple template for classifying things
Something we build today
Building a multilingual NER app with HuggingFace, Gradio and Comet
Julia Logger for Comet
This repo contains tutorials about the comet platform.
Cancer detection with Lightning, Comet ML and Gradio
Exploring pytorch-lightning's different experiment logging platforms
A Hybrid Anime Recommender System using content-based and collaborative filtering, built with end-to-end MLOps practices. Integrates Comet-ML for experiment tracking, DVC for data/model versioning, Jenkins for CI/CD, and Kubernetes for scalable deployment.
🛠️ Explore GPT-2 with llm.c, a lightweight C implementation that simplifies AI concepts for beginners, guiding you through the evolving world of language models.
LightCNN for ASVspoof 2019: A PyTorch-based countermeasure for voice anti-spoofing detection achieving 2.13% EER.
Examples scripts demonstrating raytune and comet-ml usage.
Build CIFAR10 classifiers using Tensorflow, PyTorch, PyTorch Lightning
Reproducibility code for “Evaluating the Performance of Large Language Models in Taxonomic Classification of Questions in Verbal Protocols of Design” (AI EDAM submission; under review). [WIP]
A Deep Learning application for Malaria Detection
An End 2 End recommendation application with Comet-ML for Experiment Tracking, DVC, deployed on GCloud with Kubernetes