AlexandruBurlacu

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

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

ML-From-Scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

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.

interpret

Fit interpretable models. Explain blackbox machine learning.

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

awesome-data-labeling

A curated list of awesome data labeling tools

stellargraph

StellarGraph - Machine Learning on Graphs

xtdb

An immutable database for application development and time-travel data compliance, with SQL and XTQL. Developed by @juxt

opencog

A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

Awesome-Graph-Neural-Networks

Paper Lists for Graph Neural Networks

Gen.jl

A general-purpose probabilistic programming system with programmable inference

react-dashboard

🔥React Dashboard - isomorphic admin dashboard template (React.js, Bootstrap, Node.js, GraphQL, React Router, Babel, Webpack, Browsersync) 🔥

FlexFlow

FlexFlow Serve: Low-Latency, High-Performance LLM Serving

pykalman

Kalman Filter, Smoother, and EM Algorithm for Python

mixture-of-experts

PyTorch Re-Implementation of "The Sparsely-Gated Mixture-of-Experts Layer" by Noam Shazeer et al. https://arxiv.org/abs/1701.06538

semi-supervised-pytorch

Implementations of various VAE-based semi-supervised and generative models in PyTorch

hyperband

Tuning hyperparams fast with Hyperband

Python-ELM

Extreme Learning Machine implementation in Python

onnc

Open Neural Network Compiler

AI-blog

Accompanying repository for Let's make a DQN / A3C series.

presentations

layer-norm

Code and models from the paper "Layer Normalization"

Laurae

Advanced High Performance Data Science Toolbox for R by Laurae

teaching-monolith

Data science teaching materials

pathnet-pytorch

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

delve

PyTorch model training and layer saturation monitor

Mixture-Models

Hierarchical Mixture of Experts,Mixture Density Neural Network

accelerating_nas

Repository for "Accelerating Neural Architecture Search using Performance Prediction" (ICLR Workshop 2018)

mlp-quickprop

Python implementation of MLP trained with quickprop for the class of neural networks offered in 2017.2 by the Federal Rural University of Pernambuco