Deep Learning and Artificial Intelligence
DeepInfomaxPytorch. Learning deep representations by mutual information estimation and maximization
321keypoints. Unsupervised learning of Object Landmarks through Conditional Image Generation
49cma-es. Demo of Covariance Matrix Adaptation, Evolutionary Strategy
22rnd. Exploration by Random Network Distillation
15DualAttentionSeq2Seq. Analysis of Time Series data using Seq2Seq LSTM and 2 attention layers
15mixturedensity. Mixture Density Network Demo in Pytorch
14iic. Invariant Information Clustering for Unsupervised Image Classification and Segmentation
10dreamerv3. Python
9oardm. Autoregressive Diffusion Models
3variationalcoders. Convolutional Autoencoder for compressing Atari images
2APMFieldDeveloperSetup.
2modern_robotics. examples from Modern Robotics by Lynch and Park
2wandb-cleanup. Wandb model cleanup utility
2crypto_resources.
1maxpoolvsconv. Python
1deep_rl. Deep RL demos
1lightning_demo. pytorch lightning demo
1deep_learning. deep learning template project
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