Sahaj09
Follow
Stars
Machine Learning Toolkit accompanying The Little Learner by Daniel P. Friedman and Anurag Mendhekar
A suite of test scenarios for multi-agent reinforcement learning.
A benchmark environment for fully cooperative human-AI performance.
A playbook for systematically maximizing the performance of deep learning models.
Implementation of the Tolman Eichenbaum Machine in pytorch
A set of 13 diverse machine-learning tasks that require memory to solve.
Jupyter notebook with Pytorch implementation of Neural Ordinary Differential Equations
This repo is for members of the rl-implementation channel on MLC Discord to play with RL algorithms and learn.
List of papers, code and experiments using deep learning for time series forecasting
Dataset to assess the disentanglement properties of unsupervised learning methods
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Easy generative modeling in PyTorch
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
A resource repository for 3D machine learning
Compilation of resources found around the web connected with Machine Learning, Deep Learning & Data Science in general.
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Companion webpage to the book "Mathematics For Machine Learning"
This is about learning TensorFlow
Object detection, 3D detection, and pose estimation using center point detection:
Northwestern AI MS Class Presentation and Additional Materials