Stars
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to b…
Implementation of the paper 'Towards Learning Convolutions from Scratch'
Cracking the Coding Interview 6th Ed. C++ Solutions
Cracking the Coding Interview 6th Ed. Python Solutions
Data science interview questions and answers
A template repo for Python packages
FinRL®: Financial Reinforcement Learning. 🔥
Deep learning articles with scripts of their core concepts
Kats, a kit to analyze time series data, a lightweight, easy-to-use, generalizable, and extendable framework to perform time series analysis, from understanding the key statistics and characteristi…
An open-source package of causal feature selection and causal (Bayesian network) structure learning (C/C++ version)
FgSegNet: Foreground Segmentation Network, Foreground Segmentation Using Convolutional Neural Networks for Multiscale Feature Encoding
A Tensorflow2.x implementation of Scaled-YOLOv4 as described in Scaled-YOLOv4: Scaling Cross Stage Partial Network
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up processing, and attention (consensus between columns), for emerg…
An unofficial Pytorch implementation of the idea proposed in 'How to represent part-whole hierarchies in a neural network' by Hinton
PyTorch package for the discrete VAE used for DALL·E.
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Attention based model for learning to solve different routing problems
An improvement-based Deep Reinforcement Learning Algorithm presented in paper https://arxiv.org/abs/1912.05784v2 for solving the TSP problem.
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Learning to learn generative programs with Memoised Wake-Sleep
All about FineGym (CVPR 2020 Oral): models, features, data, and more... keep starring and stay tuned!
Semi-supervised learning for object detection
RoozbehSanaei / Sketch-Based
Forked from CyberZHG/Sketch-BasedSome implementations of sketch-based methods; no longer maintained.
RoozbehSanaei / bag-of-local-features-models
Forked from wielandbrendel/bag-of-local-features-modelsPretrained bag-of-local-features neural networks
Semi-supervised learning for object detection