ilkarman

awesome-computer-vision

A curated list of awesome computer vision resources

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

cleanlab

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

gcn

Implementation of Graph Convolutional Networks in TensorFlow

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

vissl

VISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.

uvadlc_notebooks

Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023

Transformers-Recipe

🧠 A study guide to learn about Transformers

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps

awesome-normalizing-flows

Awesome resources on normalizing flows.

Unsupervised-Classification

SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]

temperature_scaling

A simple way to calibrate your neural network.

awesome-equivariant-network

Paper list for equivariant neural network

GibsonEnv

Gibson Environments: Real-World Perception for Embodied Agents

Tutel

Tutel MoE: An Optimized Mixture-of-Experts Implementation

CAR

Content adaptive resampler for image downscaling

torch-batch-svd

A 100x faster SVD for PyTorch⚡️

torch-imle

Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions

equivariant-MLP

A library for programmatically generating equivariant layers through constraint solving

sharpened-cosine-similarity

An alternative to convolution in neural networks

pytorch-mdn

Mixture Density Networks for PyTorch

pylayers

PyLayers is a Python platform for Site Specific Radio Propagation Simulation for Evaluating Indoor Localization algorithms using UWB radio signals including Human Indoor Mobility

LateTemporalModeling3DCNN

reliability-diagrams

Reliability diagrams visualize whether a classifier model needs calibration

som

Pytorch implementation of a Self-Organizing Map

fair_noise_as_targets

Implementation of the Unsupervised learning by predicting noise paper

sdp_clustering

borescope

Borescope for Python