Explore live open-source projects and AI models.

This project organizes classic images classification neural networks based on convolution or attention, and writes training and inference python scripts

Official CLI and Python SDK for Prime Intellect - access GPU compute, remote sandboxes, RL environments, and distributed training infrastructure for AI development at scale.

This training was prepared by Cisco IT Network Engineers for other network engineers. It requires no background in NSO, YANG, Python or anything else.

Python based GBDT implementation on GPU. Efficient multioutput (multiclass/multilabel/multitask) training

A Python package housing a collection of deep-learning multi-modal data fusion method pipelines! From data loading, to training, to evaluation - fusilli's got you covered 🌸

An Elegant Neural Network User Interface to build drag-and-drop neural networks, train in the browser, visualize during training, and export to Python.

TensorTrade-NG is an open source Python framework for building, training, evaluating, and deploying robust trading algorithms using reinforcement learning.

Python code for training all models in the ICLR paper, "Towards Universal Paraphrastic Sentence Embeddings". These models achieve strong performance on semantic similarity tasks without any training or tuning on the training data for those tasks. They also can produce features that are at least a... Read more

Python code for training fair logistic regression classifiers.

A simple Python wrapper for audio noise reduction RNNoise. Simplifies work with it, adds new trained models and detailed instructions for training.