Patrick Emami's Projects
A curated list of awesome hyperparameters for deep learning
Large-scale pretraining and benchmarking for short-term load forecasting.
Code for the ICML 2019 paper 'Conditioning by adaptive sampling for robust design'
Repository of Jupyter Notebooks on Colab, Binder and Huggingface for Bio, Chemistry and Physics
Collection of Deep Reinforcement Learning algorithms
Simple Online Realtime Tracking with a Deep Association Metric
MOT tracking using deepsort and yolov3 with pytorch
disentanglement_lib is an open-source library for research on learning disentangled representations.
Learning how to code distributed systems with Elixir
Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
EfficientMORL (ICML'21)
Unofficial PyTorch implementation of GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"
Python GUI Multiple Blob Tracker
Assignments for CS294-112.
Code for paper "IntPhys: A Benchmark and Dataset for Intuitive Physics".
Unofficial PyTorch implementation of IODINE https://arxiv.org/abs/1903.00450
pytorch implementation of basic kmeans algorithm(lloyd method with forgy initialization) with gpu support
Implementations of various machine learning algorithms from scratch for practice.
MobileDR + traffic radar for vehicle tracking at traffic intersections.
PyTorch implementation of MulMON
Multi-object image datasets with ground-truth segmentation masks and generative factors.
PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
in progress
Programming exercises from Nonlinear Programming (3rd Edition) by Dimitri P. Bertsekas
utils for .nvm files from VisualSFM (http://ccwu.me/vsfm/)
CEN3031 Intro to Software Engineering // Health Accelerator // Osprey