Akash (hsakas)

hsakas

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Location:London

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Akash's starred repositories

awesome-python

An opinionated list of awesome Python frameworks, libraries, software and resources.

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project-based-learning

Curated list of project-based tutorials

mmdetection

OpenMMLab Detection Toolbox and Benchmark

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pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

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Python-programming-exercises

100+ Python challenging programming exercises

gpt-3

GPT-3: Language Models are Few-Shot Learners

DeepLearningExamples

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

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computervision-recipes

Best Practices, code samples, and documentation for Computer Vision.

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segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

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tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

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hydra

Hydra is a framework for elegantly configuring complex applications

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pysheeet

Python Cheat Sheet

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Object-Detection-Metrics

Most popular metrics used to evaluate object detection algorithms.

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polynote

A better notebook for Scala (and more)

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kaolin

A PyTorch Library for Accelerating 3D Deep Learning Research

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simpletransformers

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

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SinGAN

Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

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rust-cookbook

https://rust-lang-nursery.github.io/rust-cookbook

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rlpyt

Reinforcement Learning in PyTorch

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awesome-fraud-detection-papers

A curated list of data mining papers about fraud detection.

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rethinking-network-pruning

Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)

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tf-explain

Interpretability Methods for tf.keras models with Tensorflow 2.x

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flutter_particle_clock

The Grand Prize-winning entry of the #FlutterClock challenge.

network-slimming

Network Slimming (Pytorch) (ICCV 2017)

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test-tube

Python library to easily log experiments and parallelize hyperparameter search for neural networks

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Question-Generation-Paper-List

A summary of must-read papers for Neural Question Generation (NQG)

CapsNet-Visualization

🎆 A visualization of the CapsNet layers to better understand how it works

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sparse_learning

Sparse learning library and sparse momentum resources.

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rust-examples

Examples from tutorial and other documentations of Rust.

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STL10

Python utilities for reading the STL-10 dataset: http://cs.stanford.edu/~acoates/stl10/