Mikhail Pavlov (fgvbrt)

fgvbrt

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Company:5vision

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Mikhail Pavlov's starred repositories

pytorch-image-models

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

Language:PythonLicense:Apache-2.0Stargazers:30375Issues:311Issues:876

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

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albumentations

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

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dvc

🦉 ML Experiments and Data Management with Git

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EffectiveTensorflow

TensorFlow tutorials and best practices.

how-to-exit-vim

Below are some simple methods for exiting vim.

mcfly

Fly through your shell history. Great Scott!

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stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

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catalyst

Accelerated deep learning R&D

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Multitarget-tracker

Multiple Object Tracker, Based on Hungarian algorithm + Kalman filter.

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fast-transformers

Pytorch library for fast transformer implementations

YouTokenToMe

Unsupervised text tokenizer focused on computational efficiency

Language:C++License:MITStargazers:947Issues:26Issues:60

autodidact

A pedagogical implementation of Autograd

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pytorch-cnn-finetune

Fine-tune pretrained Convolutional Neural Networks with PyTorch

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natural-adv-examples

A Harder ImageNet Test Set (CVPR 2021)

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shrinkbench

PyTorch library to facilitate development and standardized evaluation of neural network pruning methods.

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sparse_learning

Sparse learning library and sparse momentum resources.

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Erlemar.github.io

Data science portfolio

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L0_regularization

Learning Sparse Neural Networks through L0 regularization

Language:PythonLicense:MITStargazers:235Issues:8Issues:5

t3f

Tensor Train decomposition on TensorFlow

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torch-blocksparse

Block-sparse primitives for PyTorch

Language:PythonLicense:MITStargazers:143Issues:2Issues:23

maggot

A lightweight python library that helps to keep track of numerical experiments

Language:PythonLicense:Apache-2.0Stargazers:115Issues:3Issues:6

trunklucator

Python module for data scientists for quick creating annotation projects.

Language:PythonLicense:Apache-2.0Stargazers:82Issues:5Issues:1

blobfile

Read Google Cloud Storage, Azure Blobs, and local paths with the same interface

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practical-rl

Reinforcement learning in Julia. Solving OpenAI gym.

Language:JuliaLicense:MITStargazers:43Issues:4Issues:0

kaggle_amazon_from_space

Here my code from kaggle competition "Planet: Understanding the Amazon from Space"

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hyperstate

Opinionated library for managing hyperparameters and mutable state of machine learning training systems.

Language:PythonLicense:Apache-2.0Stargazers:17Issues:3Issues:6

mac-virtual-camera

Simple Virtual Camera for Mac