Deep Learning for humans
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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.
🤗 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
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.
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
Build Graph Nets in Tensorflow
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.
A toolkit for reproducible reinforcement learning research.
Hyperparameter Experiments with TensorFlow and Keras
OpenAI Gym environments for an open-source quadruped robot (SpotMicro)
High level network definitions with pre-trained weights in TensorFlow
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Image quality is an open source software library for Image Quality Assessment (IQA).
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.