Parth (patel-parth)

patel-parth

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Location:London, United Kingdom

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Parth's starred repositories

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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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

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DS-Take-Home

My solution to the book A Collection of Data Science Take-Home Challenges

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fastbook

The fastai book, published as Jupyter Notebooks

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DeepPavlov

An open source library for deep learning end-to-end dialog systems and chatbots.

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DeepSpeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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fairlearn

A Python package to assess and improve fairness of machine learning models.

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machine-learning-systems-design

A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"

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impyute

Data imputations library to preprocess datasets with missing data

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awesome-sentence-embedding

A curated list of pretrained sentence and word embedding models

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recommenders

Best Practices on Recommendation Systems

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ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

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Made-With-ML

Learn how to design, develop, deploy and iterate on production-grade ML applications.

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hacker-scripts

Based on a true story

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ns-vqa

Neural-symbolic visual question answering

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SPADE

Semantic Image Synthesis with SPADE

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oreilly-rl-tutorial

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

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probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

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pytorch-examples

Simple examples to introduce PyTorch

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awesome-rl

Reinforcement learning resources curated

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reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

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deep_learning_object_detection

A paper list of object detection using deep learning.

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PlotNeuralNet

Latex code for making neural networks diagrams

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Tensorflow-Cookbook

Simple Tensorflow Cookbook for easy-to-use

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stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

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Digit-Recognizer-using-openCV-and-CNN

This code helps you to classify digits using OpenCV and CNN

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vrn

:man: Code for "Large Pose 3D Face Reconstruction from a Single Image via Direct Volumetric CNN Regression"

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awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Recommender Systems Project Ideas

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Deep-Learning-Book-Chapter-Summaries

Attempting to make the Deep Learning Book easier to understand.

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