Machine Learning Research Scientist at National Renewable Energy Lab. Scientific foundation models | AI for Clean Energy
neural-combinatorial-rl-pytorch. PyTorch implementation of Neural Combinatorial Optimization with Reinforcement Learning https://arxiv.org/abs/1611.09940
612deep-rl. Collection of Deep Reinforcement Learning algorithms
300POMDPy. POMDPs in Python.
257awesome-hyperparams. A curated list of awesome hyperparameters for deep learning
78sinkhorn-policy-gradient.pytorch. Code accompanying the paper "Learning Permutations with Sinkhorn Policy Gradient"
41EfficientMORL. EfficientMORL (ICML'21)
22REBAR-pytorch. Implementation of REBAR in PyTorch
17ppde. Official repository for "Plug & Play Directed Evolution for Proteins with Gradient-Based Discrete MCMC"
12neural-combinatorial-rl-tensorflow. in progress
8pemami4911.github.io. https://pemami4911.github.io
5Nonlinear-Programming-Exercises. Programming exercises from Nonlinear Programming (3rd Edition) by Dimitri P. Bertsekas
4IODINE.pytorch. Unofficial PyTorch implementation of IODINE https://arxiv.org/abs/1903.00450
4TF-Queues-Full-MNIST-Example. Python
4MobileDR. MobileDR + traffic radar for vehicle tracking at traffic intersections.
3nvm-utils. utils for .nvm files from VisualSFM (http://ccwu.me/vsfm/)
2esm_one_hot. Python
2symmetric-and-object-centric-world-models. Code accompanying "A Symmetric and Object-Centric World Model for Stochastic Environments" https://github.com/orlrworkshop/orlrworkshop.github.io/blob/master/pdf/ORLR_3.pdf
2ML-practice. Python
2distributed-systems. Learning how to code distributed systems with Elixir
2traj-dist. A python package for computing distance between 2D trajectories.
1DQN-tensorflow. Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning
1machine-learning-practice.pytorch. Implementations of various machine learning algorithms from scratch for practice.
1ppi-with-stacked-autoencoders. Jupyter Notebook
1genesis.pytorch. Unofficial PyTorch implementation of GENESIS: Generative Scene Inference and Sampling with Object-Centric Latent Representations
1Osprey. CEN3031 Intro to Software Engineering // Health Accelerator // Osprey
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