AutoML library for deep learning
- automl
- neural-architecture-search
- automated-machine-learning
- python
47,133 repositories indexed
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AutoML library for deep learning
[SIGMOD'27] Easy Data Preparation with latest LLMs-based Operators and Pipelines.
Trail of Bits skills for security research, vulnerability detection, and audit workflows
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Real-time monitor and web admin for Celery distributed task queue
Largest list of models for Core ML (for iOS 11+)
StackStorm (aka "IFTTT for Ops") is event-driven automation for auto-remediation, incident responses, troubleshooting, deployments, and more for DevOps and SREs. Includes rules engine, workflow, 160 integration packs with 6000+ actions (see https://exchange.stackstorm.org) and ChatOps. Installer at https://docs.stackstorm.com/install/index.html
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
Official Tensorflow implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation (ICLR 2020)
Emulator for rapid prototyping of Software Defined Networks
MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.
Convolutional Neural Network for Text Classification in Tensorflow
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
High-performance TensorFlow library for quantitative finance.
Deep Reinforcement Learning for Keras.
Neural style in TensorFlow! 🎨
A TensorFlow implementation of DeepMind's WaveNet paper
Build Graph Nets in Tensorflow
Zero-modification Human-in-the-Loop adapter for OpenOPC's agentic DAG runtime.
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
Claude Code Guide - Setup, Commands, workflows, agents, skills & tips-n-tricks from beginner to power user!
Pretty good call graphs for dynamic languages