Indaba Pracs 2022
Notebooks for the Practicals at the Deep Learning Indaba 2022.
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Numpy Ml | 14,162 | 8 months ago | 3 | June 20, 2020 | 35 | gpl-3.0 | Python | |||
| Machine learning, in numpy | ||||||||||
| The Books Making You Better | 169 | 6 months ago | ||||||||
| A list of time-lasting classic books, which not only help you figure out how it works, but also grasp when it works and why it works in that way. | ||||||||||
| Indaba Pracs 2022 | 151 | 2 years ago | apache-2.0 | Jupyter Notebook | ||||||
| Notebooks for the Practicals at the Deep Learning Indaba 2022. | ||||||||||
| Pyhgf | 27 | 6 months ago | 20 | gpl-3.0 | Python | |||||
| PyHGF: A graph neural network library for predictive coding | ||||||||||
| Sample Efficient Bayesian Rl | 13 | 2 years ago | mit | Jupyter Notebook | ||||||
| Source for the sample efficient tabular RL submission to the 2019 NIPS workshop on Biological and Artificial RL | ||||||||||
| Artificial_curiosity | 12 | 7 years ago | Jupyter Notebook | |||||||
| Adaptive Reinforcement Learning of curious AI basketball agents | ||||||||||
| Hierarchicalgaussianfiltering.jl | 11 | 7 months ago | 35 | other | Julia | |||||
| The Julia implementation of the generalised hierarchical Gaussian filter | ||||||||||
| Professional Workshop 3 | 9 | 8 months ago | Jupyter Notebook | |||||||
| 上海交通大学 致远数学方向 专业研讨课3 [计算神经科学专题] | ||||||||||
| Deep_learning_onboarding | 8 | 4 years ago | ||||||||
| List of resources for deep learning | ||||||||||
| Bayesian Reward Shaping | 7 | 5 years ago | mit | Python | ||||||
| Bayesian Reward Shaping Framework for Deep Reinforcement Learning | ||||||||||
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