cognoscentai

cognoscentai.github.io

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

DEUP

Code for experiments to learn uncertainty

counterfactual_generative_networks

[ICLR'21] Counterfactual Generative Networks

rcps

Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"

PixelSSL

A PyTorch-based Semi-Supervised Learning (SSL) Codebase for Pixel-wise (Pixel) Vision Tasks

cvpods

All-in-one Toolbox for Computer Vision Research.

Maximally_Interfered_Retrieval

Codebase for "Online Continual Learning with Maximally Interfered Retrieval"

mil

Multiple instance learning library for Python

AlphaNPI

Adapting the AlphaZero algorithm to remove the need of execution traces to train NPI.

SD-FSIC

involution

[CVPR 2021] Involution: Inverting the Inherence of Convolution for Visual Recognition, a brand new neural operator

hopfield-layers

Hopfield Networks is All You Need

perceiver-pytorch

Implementation of Perceiver, General Perception with Iterative Attention, in Pytorch

PED-DETR-for-Pedestrian-Detection

kerod

DETR - Faster RCNN implementation in tensorflow 2

ReAgent

A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

sls

Implements stochastic line search

nn

🧠 Minimal implementations/tutorials of deep learning papers with side-by-side notes

flow-forecast

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

vision_transformer

detr

End-to-End Object Detection with Transformers

N-BEATS-1

OP3

Entity Abstraction in Visual Model-Based Reinforcement Learning

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

Loss-based-Attention-for-Interpreting-Image-level-Prediction-of-Convolutional-Neural-Networks

neural_prophet

NeuralProphet - A simple forecasting model based on Neural Networks in PyTorch

v-cdn

[NeurIPS 2020] Causal Discovery in Physical Systems from Videos

Self-Tuning-Networks

PyTorch implementation of "STNs" and "Delta-STNs"

MQRNN

Multi-Quantile Recurrent Neural Network for Quantile Regression