DmitriyG228's repositories

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airbnb-python

A Python wrapper around the Airbnb API (unofficial)

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catalyst

An Algorithmic Trading Library for Crypto-Assets in Python

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ClassConfusion2

ClassConfusion in fastai2

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client

🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.

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CLIP_prefix_caption

Simple image captioning model

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CRIS.pytorch

An official PyTorch implementation of the CRIS paper

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DAB-DETR

[ICLR 2022] DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

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Deep_learning_explorations

Codes and experiments while learning and exploring deep learning for personal curiosity by doing online courses, personal projects and work.

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diart

A python package to build AI-powered real-time audio applications

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diffusion-nbs

Getting started with diffusion

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dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

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Dreambooth-Stable-Diffusion

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) with Stable Diffusion

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Dreambooth-Stable-Diffusion-1

Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (https://arxiv.org/abs/2112.10752). Tweaks focused on training faces, objects, and styles.

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fast-stable-diffusion

fast-stable-diffusion, +25-50% speed increase + memory efficient + DreamBooth

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fast_tabnet

TabNet for fastai

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fastinference

A collection of inference modules for fastai2

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food

AI food tracker and calorie tracker

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llama_index

LlamaIndex (GPT Index) is a data framework for your LLM applications

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rightmove_webscraper.py

Python class to scrape data from rightmove.co.uk and return listings in a pandas DataFrame object

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segmentator

MM'21 Main-Track paper

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STEGO

Unsupervised Semantic Segmentation by Distilling Feature Correspondences

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tabnet

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

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unstructured

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

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