TrackMania_AI
fortuna
Our great sponsors
| TrackMania_AI | fortuna | |
|---|---|---|
| 1 | 5 | |
| 94 | 850 | |
| - | 2.1% | |
| 5.1 | 8.5 | |
| 2 months ago | 9 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | Apache License 2.0 |
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TrackMania_AI
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Racing game AI (Trackmania)
Hi everyone! I would like to share my repo with you (https://github.com/AndrejGobeX/TrackMania_AI). It's still in development, so all ideas and comments are welcome.
fortuna
- 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification
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[P] 🚀 AWS launches Fortuna, an open-source library for Uncertainty Quantification
What is the best end-to-end example showing it? https://github.com/awslabs/fortuna/blob/main/examples/mnist_classification.ipynb ? It would be nice to have some visual explainer, as in https://github.com/aangelopoulos/conformal_classification .
- AWS Fortuna, an open-source library for Uncertainty Quantification
What are some alternatives?
tm-dashboard - Dashboard for Trackmania displaying a bunch of vehicle information on screen.
surface_normal_uncertainty - (ICCV 2021 - oral) Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation
tempo120 - A party car racing game written on a Saturday during the bpb game jam 2023
uq-vae - Solving Bayesian Inverse Problems via Variational Autoencoders
Activeloop Hub - Data Lake for Deep Learning. Build, manage, query, version, & visualize datasets. Stream data real-time to PyTorch/TensorFlow. https://activeloop.ai [Moved to: https://github.com/activeloopai/deeplake]
pytorch-forecasting - Time series forecasting with PyTorch
tm2020scripts - Scripts for Trackmania (2020). Includes gamemodes for custom servers.
deep-kernel-transfer - Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)
jax-resnet - Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
GradCache - Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint