ovcharenkoo

Oleg Ovcharenko's starred repositories

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Language:PythonApache-2.0135049 1125 16147

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

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shap

A game theoretic approach to explain the output of any machine learning model.

Language:Jupyter NotebookMIT22879 245 2546

instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

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Megatron-LM

Ongoing research training transformer models at scale

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DALI

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

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pyvista

3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK)

Language:PythonMIT2725 37 1678

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

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zarr-python

An implementation of chunked, compressed, N-dimensional arrays for Python.

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deepstream_python_apps

DeepStream SDK Python bindings and sample applications

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hypre

Parallel solvers for sparse linear systems featuring multigrid methods.

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ithaca

Restoring and attributing ancient texts using deep neural networks

Language:Jupyter NotebookApache-2.0548 17 6

physics_informed

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dietgpu

GPU implementation of a fast generalized ANS (asymmetric numeral system) entropy encoder and decoder, with extensions for lossless compression of numerical and other data types in HPC/ML applications.

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bruges

Bag of really useful geoscience equations and stuff

Language:PythonApache-2.0276 50 71

batchflow

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

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