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Simpler human-readable labels for ImageNet 🏷
PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.
An Extensible Continual Learning Framework Focused on Language Models (LMs)
Continual Learning papers list, curated by ContinualAI
Gain an understanding of the fundamental topics and concepts of computer architecture including the application of these with modern Arm processors
A super-fast Python implementation of seam carving algorithm for intelligent image resizing.
Compression tools for machine learning researchers
A collection of tools for neural compression enthusiasts.
Open source PCB for arcade sticks using Raspberry Pi Pico.
MLCommons Algorithmic Efficiency is a benchmark and competition measuring neural network training speedups due to algorithmic improvements in both training algorithms and models.
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
A simple way to keep track of an Exponential Moving Average (EMA) version of your pytorch model
Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
Stable Diffusion web UI
🛠️ Corrected Test Sets for ImageNet, MNIST, CIFAR, Caltech-256, QuickDraw, IMDB, Amazon Reviews, 20News, and AudioSet
A shield for the Arduino Mega that can back up video game cartridges.
The world's simplest facial recognition api for Python and the command line
[ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)
This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
An open source implementation of CLIP.
Everything we actually know about the Apple Neural Engine (ANE)
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Improving Generalization via Scalable Neighborhood Component Analysis