A list of open datasets on AWS
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Updated
Jun 12, 2024 - Python
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
A list of open datasets on AWS
Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.
Web application for predicting the number of available bike stands at one of the MBajk bike stations.
A framework for the comparative training and evaluation of statistical and deep learning models for multi-feature categorical sequence modeling, utilizing feature fusion and automated with MLflow and Optuna integration.
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Paper reading notes on AI
Compendium of free ML reading resources
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
Substrate Python SDK
This is the hub for all the projects I have worked on.
Showcase AI Experiments and Projects
machine learning and computational intelligence
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Paper reading notes on Deep Learning and Machine Learning
A curated list of awesome Machine Learning frameworks, libraries and software. With repository stars⭐ and forks🍴
Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
This respository serves to upload my projects and advances in the ML Certificate.
📝 An awesome Data Science repository to learn and apply for real world problems. With repository stars⭐ and forks🍴
A machine learning model implemented in Rust 🦀 + Burn 🔥 for the LEAP - Atmospheric Physics using AI (ClimSim) Kaggle challenge
⚡ Electricity Predictor