Furqan Ahmed Shaik (Furqan7007)

Furqan7007

Geek Repo

Company:IIIT Hyderabad

Location:Hyderabad

Home Page:https://www.linkedin.com/in/furqan-ahmed7007/

Twitter:@furqan7007

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Furqan Ahmed Shaik's repositories

IDDAW_kit

Complete code kit for IDDAW

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30-Days-of-ML-Kaggle

Machine learning beginner to Kaggle competitor in 30 days. Non-coders welcome. The program starts Monday, August 2, and lasts four weeks. It's designed for people who want to learn machine learning.

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al-folio

A beautiful, simple, clean, and responsive Jekyll theme for academics

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deep-high-resolution-net.pytorch

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

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human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

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ML-code

Daily practice codes of ML

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detr

End-to-End Object Detection with Transformers

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fashion_mnist

Fashion mnist Classification in pytorch

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furqan7007.github.io

Build a Jekyll blog in minutes, without touching the command line.

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Machine-Learning-Collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

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mediapipe

Cross-platform, customizable ML solutions for live and streaming media.

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ML_papers

ML_paper_summary(in Japanese)

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Nashpy

A library for the computation of Nash equilibria in two player games

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paper-notes

List of papers read and a brief description of them

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paper_annotations

A place to keep track of all the annotated papers.

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PlotNeuralNet

Latex code for making neural networks diagrams

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practical-nlp-code

Official Repository for 'Practical Natural Language Processing' by O'Reilly Media

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pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

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rigl

End-to-end training of sparse deep neural networks with little-to-no performance loss.

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Self-Learning

Books Papers, Courses & more I have to learn soon

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static_quantization

Post-training static quantization using ResNet18 architecture

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vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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