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2020 Machine Learning Roadmap
A beginner mind map (and presentation) connecting many of the most foundational concepts in machine learning.
machine-learning data-science introduction beginner
AI Basketball Analysis
🏀 AI web app and API to analyze basketball shots and shooting pose.
pose-estimation sports basketball api
How to Train Your Neural Net
Deep learning for various tasks in the domains of Computer Vision, Natural Language Processing, Time Series Forecasting using PyTorch 1.0+.
pytorch python deep-learning computer-vision
Tensorflow, Pytorch, Transformer, Fastai, etc. Tutorials
BERT Classification, Question Answering, Seq2Seq Machine Translation, Contextual Topic Modeling, Large Scale Multilabelclassification, etc
transformers text-classification pytorch tensorflow
A Python framework for Automated Machine Learning (AutoML), hyperparameter tunning and program synthesis in general.
automl python machine-learning code
KD Lib
A PyTorch library to easily facilitate knowledge distillation for custom deep learning models.
knowledge-distillation model-compression pytorch code
Getting started with JAX (MLPs, CNNs & RNNs)
Learn the building blocks of JAX and use them to build some standard Deep Learning architectures (MLP, CNN, RNN, etc.).
jax xla autograd tpu
Generate Boolean (Yes/No) Questions From Any Content
Question generation algorithm trained on the BoolQ dataset using T5 text-to-text transformer model.
question-generation transformers huggingface t5
Reproduces the book Dive Into Deep Learning (, adapting the code from MXNet into PyTorch.
pytorch book d2l-ai tutorial
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