Stars
Google Research
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Create delightful software with Jupyter Notebooks
Training PyTorch models with differential privacy
Early stopping for PyTorch
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
Official repository for the paper F, B, Alpha Matting
A python package to access tsetmc data
[ICCV 2019, Oral] Controllable Artistic Text Style Transfer via Shape-Matching GAN
🤗 ParsBERT: Transformer-based Model for Persian Language Understanding
SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)
PyTorch Implementation of FastSpeech 2 : Fast and High-Quality End-to-End Text to Speech
Notes for machine learning
Pytorch implementation of a StyleGAN encoder. Images to latent space representation.
Generating automatic trimap through pixel dilation and strongly-connected-component algorithms
High-Resolution Network for Photorealistic Style Transfer
High performance implementation of Extreme Learning Machines (fast randomized neural networks).
Hierarchical Gating Networks for Sequential Recommendation
Getting to 99% Accuracy in Interactive Segmentation and Interactive Training and Architecture for Deep Object Selection
This project is to convert PortraitFCN+ (by Xiaoyong Shen) from Matlab to Tensorflow, then refine the outputs from it (converted to a trimap) using KNN and ResNet, supervised by Richard Berwick.
The Deep Weight Prior, ICLR 2019
Tensorflow implementation of Direct and Random feedback Alignment
palmbook / cartpole
Forked from gsurma/cartpoleOpenAI's cartpole env solver.
Solving a travel salesman problem using Hopfield Network (course project of Intelligent Control class)
Implementation of Hopfield Neural Network in Python based on Hebbian Learning Algorithm