Pennylane
PennyLaneAI
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from…
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Results: 102
PennyLaneAI
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantum algorithms, from…
qualcomm
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
chemprop
Message Passing Neural Networks for Molecule Property Prediction
ahmedfgad
Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).
fangwei123456
SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.
alirezadir
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
lutzroeder
Visualizer for neural network, deep learning and machine learning models
ludwig-ai
Low-code framework for building custom LLMs, neural networks, and other AI models
skorch-dev
A scikit-learn compatible neural network library that wraps PyTorch
lightgbm-org
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and…
huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
microsoft
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
dmlc
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask,…
shap
A game theoretic approach to explain the output of any machine learning model.
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