4rtemi5

4rtemi5's Stars

• stas00/ml-engineering

  Machine Learning Engineering Open Book

  Language:Python11.4k11225690

• prs-eth/Marigold

  [CVPR 2024 - Oral, Best Paper Award Candidate] Marigold: Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation

  Language:Python2.3k41102127

• patrick-kidger/equinox

  Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

  Language:Python2.1k24445139

• mhamilton723/FeatUp

  Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024

  Language:Jupyter Notebook1.4k186478

• google-research/deeplab2

  DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

  Language:Python1k23139159

• UCSC-VLAA/CLIPA

  [NeurIPS 2023] This repository includes the official implementation of our paper "An Inverse Scaling Law for CLIP Training"

  Language:Python294131111

• clip-italian/clip-italian

  CLIP (Contrastive Language–Image Pre-training) for Italian

  Language:Jupyter Notebook18062417

• borisdayma/clip-jax

  Train vision models using JAX and 🤗 transformers

  Language:Python937710

• cgarciae/nnx

  Neural Networks for JAX

  Language:Python83572

• 4rtemi5/imax

  Image augmentation library for Jax

  Language:Python37333

• 4rtemi5/soc_embeddings

  Official repo for the SOC-Embedding blogpost: https://www.rpisoni.dev/posts/self-organizing-class-embeddings/

  Language:Jupyter Notebook4100

• adrian-dalessandro/sharpened-cosine-VGG16

  An implementation of VGG16 using Sharpened Cosine Distance as a replacement for convolutions. I will likely provided a pre-trained model, eventually.

  Language:Jupyter Notebook210