greysakura

jax

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

detr

End-to-End Object Detection with Transformers

pikvm

Open and inexpensive DIY IP-KVM based on Raspberry Pi

pytorch-metric-learning

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

ddsp

DDSP: Differentiable Digital Signal Processing

Awesome-Learning-with-Label-Noise

A curated list of resources for Learning with Noisy Labels

bazelisk

A user-friendly launcher for Bazel.

Bayesian-Neural-Networks

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

diffrax

Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

viewer

ML models and internal tensors 3D visualizer

easy-few-shot-learning

Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

svcca

DeepEMD

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

WeightStandardization

Standardizing weights to accelerate micro-batch training

evosax

Evolution Strategies in JAX 🦎

rfs

AudioClassification-Pytorch

The Pytorch implementation of sound classification supports EcapaTdnn, PANNS, TDNN, Res2Net, ResNetSE and other models, as well as a variety of preprocessing methods.

Teacher-Assistant-Knowledge-Distillation

Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf

PT-MAP

Code for 'Leveraging the Feature Distribution in Transfer-based Few-Shot Learning'

Mixup_for_UDA

Implementation of Adversarial Domain Adaptation with Domain Mixup (AAAI 2020 Oral).

ContinuousParetoMTL

[ICML 2020] Efficient Continuous Pareto Exploration in Multi-Task Learning

Audio-Classification

Pytorch code for "Rethinking CNN Models for Audio Classification"

ParetoMTL

Code for Neural Information Processing Systems (NeurIPS) 2019 paper: Pareto Multi-Task Learning

tensorflow-riemopt

A library for optimization on Riemannian manifolds

FewShotMultiLabel

Code for AAAI2021 paper: Few-Shot Learning for Multi-label Intent Detection.

BayesianML

Experiments in Bayesian Machine Learning

born_again_neuralnet

Unofficial pytorch implementation of Born-Again Neural Networks.

ocr-table-ssd

GrNet

GitHub repository for "Building Deep Networks on Grassmann Manifolds", AAAI 2018.

pytorch_distillation

Knowledge Distillation Extension Library for PyTorch