[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
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Updated
Oct 17, 2021 - Python
[TPAMI2022 & NeurIPS2020] Official implementation of Self-Adaptive Training
JAX implementation of deep RL agents with resets from the paper "The Primacy Bias in Deep Reinforcement Learning"
[ICLR 2021] "Robust Overfitting may be mitigated by properly learned smoothening" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, Shiyu Chang, Zhangyang Wang
PyTorch code for FLD (Feature Likelihood Divergence), FID, KID, Precision, Recall, etc. using DINOv2, InceptionV3, CLIP, etc.
All exercises for the course Elements of AI - Building AI
Official Codebase of "A Closer Look at Weakly-Supervised Audio-Visual Source Localization" (NeurIPS 2022)
spatial resampling for more robust cross validation in spatial studies
Decision Tree classifier from scratch without any machine learning libraries
Pytorch implementation of the paper: "BMN: Boundary-Matching Network for Temporal Action Proposal Generation", along with three new modules to address overfitting issues found in the baseline model, and their ablation studies.
Dropout: A Simple Way to Prevent Neural Networks from Overfitting
Supplementary code for the paper "Stochastic Weight Matrix-based Regularization Methods for Deep Neural Networks" - an accepted paper of LOD2019
Elements of AI: Building AI - Advanced is an online course by Reaktor and University of Helsinki worth 2 ECTS.
Clipped Noise Softmax to overcome over-fitting with Softmax - PyTorch implementation
Pytorch DataLoader wrapper to intentionally mess up, corrupt, shuffle, randomize the input/label correspondence.
42AI Bootcamps - Python & Machine Learning
Model search in traditional machine learning algorithms (non DL) and DL starter codes on MNIST dataset. This is a good starter code for beginners trying to learn about curse of dimensionality, overfitting and other concepts in general
ID3 decision tree implementation
competitions launched on website AnalyticsVidhya.com
Udacity Self Driving Car Nanodegree - Behavioral Cloning
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