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Sparse multi-dimensional arrays for the PyData ecosystem
Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
A Python toolbox for performing gradient-free optimization
This repo provides an exhaustive pipeline of processing TCGA whole-slide images for downstream multiple instance learning.
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Language model alignment-focused deep learning curriculum
Unbearably fast near-real-time hybrid runtime-static type-checking in pure Python.
Video+code lecture on building nanoGPT from scratch
High-Performance Symbolic Regression in Python and Julia
Type annotations and runtime checking for shape and dtype of JAX/NumPy/PyTorch/etc. arrays. https://docs.kidger.site/jaxtyping/
Decoder only transformer, built from scratch with PyTorch
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A Recurrent Neural Network for Object Segmentation
A PyTorch Implementation of "Recurrent Models of Visual Attention"
This repo contains the syllabus of the Hugging Face Deep Reinforcement Learning Course.
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
LibKGE - A knowledge graph embedding library for reproducible research
A coding-free framework built on PyTorch for reproducible deep learning studies. 🏆25 knowledge distillation methods presented at CVPR, ICLR, ECCV, NeurIPS, ICCV, etc are implemented so far. 🎁 Train…
Master programming by recreating your favorite technologies from scratch.