github.com
Automated machine learning for image, text, tabular, time-series, and multi-modal data.
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github.com
AutoKeras goal is to make machine learning accessible for everyone.
github.com
Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.
github.com
A curated list of machine learning models in CoreML format.
github.com
Curated list of federated learning publications, re-organized from Arxiv (mostly).
github.com
List of awesome compiler projects and papers for tensor computation and deep learning.
github.com
CPU and GPU-accelerated Machine Learning Library.
bodywork.readthedocs.io
Deploys machine learning projects developed in Python, to Kubernetes.
github.com
Fast open framework for deep learning.
github.com
Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
huggingface.co
Interactive Hugging Face app that shares a machine-learning model, framework, demonstration or technical resource.
github.com
A PyTorch based deep learning library for drug pair scoring.
github.com
Python library for data-centric AI and machine learning with messy, real-world data and labels.
github.com
Optimization library focused on machine learning, pythonic implementations of gradient descent, LBFGS, rmsprop, adadelta and others.
huggingface.co
CLIP Interrogator supports machine learning models, deployment, inspection, datasets, or AI development workflows.
github.com
A machine learning library for Clojure built on top of Weka and friends.
github.com
Open-source library for implementing CI/CD in machine learning projects.
github.com
Scalable Machine Learning in Scalding.
cortex.dev
Deploy, manage, and scale machine learning models in production.
code.google.com
This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING].
dagshub.com
Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.
github.com
A data orchestrator for machine learning, analytics, and ETL.
datascienceathome.com
Data Science at Home is a podcast about machine learning, artificial intelligence, and algorithms.
dataskeptic.com
Data Skeptic is a podcast hosted by Kyle Polich, featuring interviews with experts on data science, machine learning, AI, and statistics.