Reference code base for ML Engineering, Manning Publications

Self Supervised Visual Representation Learning with Transformers

Python package for receiving and restructuring OSM historic object data conveniently

Lightweight implementation of vision transformers for fast training and inference.

Resumes generated using the GitHub informations

Used torch.optim.lr_scheduler.CosineAnnealingLR()

MCTS and Reinforcement Learning from scratch

From scratch implementations of GAN, VAE and VAE+FlowBased Prior

From scratch implementation of DDPG (Actor Critic w/ state value estimator)

🥝 Autoregressive Models in PyTorch.

Keras Temporal Convolutional Network.

Implementation of Deep Learning strategies for the FPGA in VHDL.

Detection Engine using OSM and GSV data by applying geometry and Neural Networks

Python package to get the full time series for any search query with daily frequency.