patricksha's repositories
AM207-inference-analysis-optimization
Harvard Fall 2019 Applied Math 207 Advanced Methods for Analysis, Inference and Optimization (Dr. Weiwei Pan)
am207_fall19_projects
Course projects for AM207 Fall 2019
imbalanced-dataset-sampler
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
IndRNN_pytorch
Independently Recurrent Neural Networks (IndRNN) implemented in pytorch.
Practical_RL
A course in reinforcement learning in the wild
semi-supervised-pytorch
Implementations of various VAE-based semi-supervised and generative models in PyTorch
60_Days_RL_Challenge
Learn Deep Reinforcement Learning in Depth in 60 days
awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
MIT-Linear-Algebra-Notes
Notes for MIT-Linear-Algebra
SS-VAE-pytorch
The reproduce of M2 model in "Semi-supervised Learning with Deep Generative Models" based on pytorch
statistical-analysis-python-tutorial
Statistical Data Analysis in Python