Deep Learning for humans
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We write your reusable computer vision tools. 💜
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
100-Days-Of-ML-Code中文版
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
Open standard for machine learning interoperability
机器学习相关教程
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
TensorFlow-based neural network library
Deep learning library featuring a higher-level API for TensorFlow.
AutoML library for deep learning
Largest list of models for Core ML (for iOS 11+)
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
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Deep Reinforcement Learning for Keras.
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from inspiration to implementation.
Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the CASL project: http://casl-project.ai/
TensorFlow for Raspberry Pi