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.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Low-code framework for building custom LLMs, neural networks, and other AI models
Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution
Collection of Open Source Projects Related to GPT，GPT相关开源项目合集🚀、精选🔥🔥
Structured data extraction and instruction calling with ML, LLM and Vision LLM
Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai
Sparsity-aware deep learning inference runtime for CPUs
a delightful machine learning tool that allows you to train, test, and use models without writing code
The machine learning toolkit for time series analysis in Python
Lightweight nudity detection
nannyml: post-deployment data science in python
Keras model of NSFW detector
An open-source framework for real-time anomaly detection using Python, ElasticSearch and Kibana
All the slides, accompanying code and exercises all stored in this repo. 🎈
Framework for algorithmic trading
PyTorch to Keras model convertor
Retentioneering: product analytics, data-driven CJM optimization, marketing analytics, web analytics, transaction analytics, graph visualization, process mining, and behavioral segmentation in Python. Predictive analytics over clickstream, AB tests, machine learning, and Markov Chain simulations.
do more with dbt. dbt-fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.