pakoromilas

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

insightface

State-of-the-art 2D and 3D Face Analysis Project

CVPR2024-Papers-with-Code

CVPR 2024 论文和开源项目合集

horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

SupContrast

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

tsne-cuda

GPU Accelerated t-SNE for CUDA with Python bindings

byol-pytorch

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

ml-4m

4M: Massively Multimodal Masked Modeling

math-lm

train-CLIP

A PyTorch Lightning solution to training OpenAI's CLIP from scratch.

SimCLR

A PyTorch implementation of SimCLR based on ICML 2020 paper "A Simple Framework for Contrastive Learning of Visual Representations"

LibAUC

LibAUC: A Deep Learning Library for X-Risk Optimization

hierarchicalContrastiveLearning

awesome-ml-blogs

Curated list of technical blogs on machine learning · AI/ML/DL/CV/NLP/MLOps

pymfe

Python Meta-Feature Extractor package.

wandb_on_slurm

Example of how to use Weights & Biases on Slurm

cooper

A general-purpose, deep learning-first library for constrained optimization in PyTorch

clip-training

Code to train CLIP model

Rank-N-Contrast

[NeurIPS 2023, Spotlight] Rank-N-Contrast: Learning Continuous Representations for Regression

CMAE

The official implementation of CMAE https://arxiv.org/abs/2207.13532 and https://ieeexplore.ieee.org/document/10330745

MoCo-Pytorch

An unofficial Pytorch implementation of "Improved Baselines with Momentum Contrastive Learning" (MoCoV2) - X. Chen, et al.

diffdist

moco_align_uniform

MoCo with Alignment and Uniformity Loss.

ImageNet-100-Pytorch

(Pytorch) Training ResNets on ImageNet-100 data

MLclf

mini-imagenet and tiny-imagent dataset transformation for traditional classification task and also for the format for few-shot learning / meta-learning tasks

SmoothedGradientDescentAscent

An Implementation of Smoothed Gradient Descent-Ascent (NeurIPS 2020) and a variant of the algorithm.

sgda

Code for "Stochastic Gradient Descent-Ascent: Unified Theory and New Efficient Methods"

Cryo-EMMAE