Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
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Infrastructure for continually self‑improving agents
An open source python library for automated feature engineering
- feature-engineering
- machine-learning
- data-science
- automated-machine-learning
Efficiently computes derivatives of NumPy code.
- autograd
- automatic-differentiation
- numpy
- python
Deep Learning and Reinforcement Learning Library for Scientists and Engineers
- tensorlayer
- deep-learning
- tensorflow
- neural-network
The Open Source Feature Store for AI/ML
- machine-learning
- features
- ml
- big-data
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
- drug-discovery
- quantum-chemistry
- deep-learning
- biology
Largest list of models for Core ML (for iOS 11+)
- coreml
- coreml-model
- apple
- machine-learning
A free, online learning platform to make quality education accessible for all.
A Python scikit for building and analyzing recommender systems
- recommender
- systems
- recommendation
- svd
Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications
- audio
- machine-learning
- signal-processing
- audio-data
🌊 Online machine learning in Python
- incremental-learning
- machine-learning
- python
- online-learning
Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices
- tensorflow
- graph
- darknet
- deep-learning
Uplift modeling and causal inference with machine learning algorithms
- incubation
- machine-learning
- causal-inference
- uplift-modeling
A system for quickly generating training data with weak supervision
- machine-learning
- ai
- weak-supervision
- labeling
common data analysis and machine learning tasks using python
- data-science
- python
- python-tutorial
- data-scientists
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.
- cntk
- visualization
- tensorflow
- model-converter
ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.
- mlops
- machine-learning
- data-science
- production-ready
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
- privacy-protection
- privacy-enhancing-technologies
- face-recognition
- adversarial-machine-learning
Deep Reinforcement Learning for Keras.