yashsmehta Goto Github PK

365papers

I read and summarized an academic paper every day for a year.

archvision

This repository explores how far can you model biological vision solely with architecture and local learning?

auto-sklearn

Automated Machine Learning with scikit-learn

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-autodl

A curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-llm-kg

Awesome papers about unifying LLMs and KGs

beir

A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.

bonnerlab

Website content for the bonner lab at JHU.

brain-networks-across-the-web

list of brain networks ready to be downloaded for your brainhacking pleasure

brain-tokyo-workshop

🧠🗼

data-pipeline-samples

This repository hosts sample pipelines

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

detr

End-to-End Object Detection with Transformers

emolyric.mp3

Deep learning based automated mood recognition from songs using bi-modal fusion of lyrics and audio. Work done as part of Amazon machine learning hackathon 2018.

first-impression

Human Personality Traits Recognition from short introduction videos of users from Youtube

flymazerl

gpt-2

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

grad-school-resources

A repository of links with advice related to grad school applications, research, phd etc

helmholtz-machine

tensorflow implementation of the helmholtz machine, trained with the wake-sleep algorithm on MNIST with discrete stochastic network with Bernoulli variables.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

kg-llm-papers

[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)

learning-compression

lunarvim

An IDE layer for Neovim with sane defaults. Completely free and community driven.

metalearnplasticity

Efficient meta learning of synaptic plasticity from experimental data using artificial neural network models

mysqldump-to-csv

Python script to convert .sql dump to CSV format

named-entity-normalization

Using a combination of language models and web scraping for a robust named entity normalization engine to create a hierarchical graph data-structure.

nas

multiagent neural architecture search evaluated on the Google nasbench-101

nas_benchmarks

nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark