CodeamonCat

CodeamonCat's Stars

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  60.4k9.9k

• mochajs/mocha

  ☕️ simple, flexible, fun javascript test framework for node.js & the browser

  Language:JavaScript22.6k3k

• jestjs/jest

  Delightful JavaScript Testing.

  Language:TypeScript44.1k6.4k

• scikit-learn/scikit-learn

  scikit-learn: machine learning in Python

  Language:Python59.6k25.3k

• cs231n/gcloud

  Google Cloud tutorial and setup

  Language:Python489181

• TylerYep/torchinfo

  View model summaries in PyTorch!

  Language:Python2.5k119

• cs231n/cs231n.github.io

  Public facing notes page

  Language:Jupyter Notebook10.2k4.1k

• FrancescoSaverioZuppichini/A-journey-into-Convolutional-Neural-Network-visualization-

  A journey into Convolutional Neural Network visualization

  Language:Jupyter Notebook26447

• gollum/gollum

  A simple, Git-powered wiki with a local frontend and support for many kinds of markup and content.

  Language:Ruby13.8k1.6k

• aharley/nn_vis

  An interactive visualization of neural networks

  Language:JavaScript29862

• philipperemy/keract

  Layers Outputs and Gradients in Keras. Made easy.

  Language:Python1k185

• marekborowiec/AMAS

  Calculate summary statistics and manipulate multiple sequence alignments

  Language:Python7414

• MedicineToken/Medical-SAM2

  Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2

  Language:Python39149

• h5bp/Front-end-Developer-Interview-Questions

  A list of helpful front-end related questions you can use to interview potential candidates, test yourself or completely ignore.

  Language:Nunjucks59.6k11.1k

• jhuangtw/xg2xg

  by ex-googlers, for ex-googlers - a lookup table of similar tech & services

  14.6k1k

• zhixuhao/unet

  unet for image segmentation

  Language:Jupyter Notebook4.6k2k

• ftonolini45/Variational_Sparse_Coding

  This repository contains codes and examples implementing the variational sparse coding model

  Language:Jupyter Notebook162

• taldatech/soft-intro-vae-pytorch

  [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"

  Language:Jupyter Notebook19226

• hhb072/IntroVAE

  A pytorch implementation of Paper "IntroVAE: Introspective Variational Autoencoders for Photographic Image Synthesis"

  Language:Python9124

• google/styleguide

  Style guides for Google-originated open-source projects

  Language:HTML37.3k13.3k

• google/gts

  ☂️ TypeScript style guide, formatter, and linter.

  Language:TypeScript5.1k205

• google/google-java-format

  Reformats Java source code to comply with Google Java Style.

  Language:Java5.6k855

• google/yapf

  A formatter for Python files

  Language:Python13.7k887

• huggingface/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

  Language:Python31.7k4.7k

• KamilSJaron/smudgeplot

  Inference of ploidy and heterozygosity structure using whole genome sequencing data

  Language:C22624

• refresh-bio/KMC

  Fast and frugal disk based k-mer counter

  Language:C++26673

• gmarcais/Jellyfish

  A fast multi-threaded k-mer counter

  Language:C++463136

• tbenavi1/genomescope2.0

  Reference-free profiling of polyploid genomes

  Language:R9817

• google/vertex-ai-nas

  With Vertex AI NAS, you can search for optimal neural architectures in terms of accuracy, latency, memory, a combination of these, or a custom metric.

  Language:Python255

• google/uis-rnn

  This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.

  Language:Python1.6k319