Awesome Open Source

Programming Languages

Search results for computer vision jax

computer-vision x

14 search results found

D2l En ⭐ 20,613

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Scenic ⭐ 2,733

Scenic: A Jax Library for Computer Vision Research and Beyond

PIX is an image processing library in JAX, for JAX.

Squirrel Core ⭐ 271

A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way 🌰

Rigid transforms + Lie groups, in JAX

Robustness Vit ⭐ 97

Contains code for the paper "Vision Transformers are Robust Learners" (AAAI 2022).

Jax Models ⭐ 82

Unofficial JAX implementations of deep learning research papers

Jax Resnet ⭐ 67

Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).

M3ae_public ⭐ 58

Multimodal Masked Autoencoders (M3AE): A JAX/Flax Implementation

Big_vision_experiments ⭐ 19

Contains my experiments with the `big_vision` repo to train ViTs on ImageNet-1k.

Causalimages Software ⭐ 15

causalimages: An R package for performing causal inference with image and image sequence data with a JAX backend

Deep Learning Projects ⭐ 13

Best Deep Learning Projects for Advanced Learners

Flax Image Models - State-of-the-art pre-trained vision backbones for Flax.

Bit Jax2tf ⭐ 11

This repository hosts the code to port NumPy model weights of BiT-ResNets to TensorFlow SavedModel format.

Related Searches

Python Computer Vision (4,238)

Deep Learning Computer Vision (3,650)

Machine Learning Computer Vision (2,342)

Jupyter Notebook Computer Vision (1,875)

Computer Vision Opencv (1,326)

Pytorch Computer Vision (1,311)

Convolutional Neural Networks Computer Vision (1,072)

Artificial Intelligence Computer Vision (949)

Tensorflow Computer Vision (905)

C Plus Plus Computer Vision (788)

1-14 of 14 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.