vaibhav-research/gut_microbiome_project
Predicting development of food allergies from microbiome data.
Predicting development of food allergies from microbiome data.
Human action classification system with pose-based (MediaPipe) and video-based (3D CNN) models. Features 100+ architectures for real-time pose classification and temporal models pretrained on UCF-101/HMDB51.
Protect your LLMs from prompt injection and jailbreak attacks. Easy-to-use Python package with multiple detection methods, CLI tool, and FastAPI integration.
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
A lightweight, local-first, and free experiment tracking library from Hugging Face 🤗
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Transformer-based anomaly detection and error classification model trained on system log datasets (LogHub)
The first open-source ML framework for predictive conflict detection and concurrency optimization in Infrastructure-as-Code.
Extensible Python SDK for developing Flyte tasks and workflows. Simple to get started and learn and highly extensible.
Python command line utility to find and print the CIDR and ASN where the IP address in CIDR range