TLESORT

pytorch-image-models

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNet-V3/V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

comprehensive-rust

This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

czkawka

Multi functional app to find duplicates, empty folders, similar images etc.

machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

deepchecks

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

ffcv

FFCV: Fast Forward Computer Vision (and other ML workloads!)

ElectronMail

Unofficial ProtonMail Desktop App

piq

Measures and metrics for image2image tasks. PyTorch.

PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

jaxton

100 exercises to learn JAX

evosax

Evolution Strategies in JAX 🦎

l2p

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

mtt-distillation

Official code for our CVPR '22 paper "Dataset Distillation by Matching Training Trajectories"

pytorch-receptive-field

Compute CNN receptive field size in pytorch in one line

Renate

Library for automatic retraining and continual learning

multi_gpu_training

git-theta

git extension for {collaborative, communal, continual} model development

DeepCore

Code for coreset selection methods

dm_nevis

NEVIS'22: Benchmarking the next generation of never-ending learners

entropic-out-of-distribution-detection

A project to add scalable state-of-the-art out-of-distribution detection (open set recognition) support by changing two lines of code! Perform efficient inferences (i.e., do not increase inference time) and detection without classification accuracy drop, hyperparameter tuning, or collecting additional data.

TorchAL

Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.

LM_Transformers_BlockMerge

Image Diffusion block merging technique applied to transformers based Language Models.

spurious_feature_learning

latent_CL

Codebase used in the paper "Foundational Models for Continual Learning: An Empirical Study of Latent Replay".

eco-faqs

FAQ Generator for Classroom Climate Change Education using OpenAI

ContinualNLU

Companion repository for the paper "Analyzing BERT Cross-lingual Transfer Capabilities in Continual Sequence Labeling"

TAG

TAG: Task-based Accumulated Gradients for Lifelong learning

SCoLe-SCaling-Continual-Learning

Official Code for "Challenging Common Assumptions about Catastrophic Forgetting and Knowledge Accumulation", CoLLas 2023.

tasksim