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Official Code for DragGAN (SIGGRAPH 2023)
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.
Pocket Flow: 100-line LLM framework. Let Agents build Agents!
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A collection of libraries to optimise AI model performances
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
Interpretability and explainability of data and machine learning models
Sharing Updatable Models (SUM) on Blockchain
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
A tool for automatic phoneme transcription
MCP server that connects AI agents to your running Neovim instance via msgpack-RPC — no plugins required.