Implementation of the general framework for AMIE, from the paper "Towards Conversational Diagnostic AI", out of Google Deepmind
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Prediction of key transcription factors in cell fate determination using enhancer networks. See full ANANSE documentation for detailed installation instructions and usage examples. http://anansepy.readthedocs.io
Implementation of Attention Schema-based Attention Control (ASAC), A Cognitive-Inspired Approach for Attention Management in Transformers
Adaptive and Momental Bounds for Adaptive Learning Rate Methods.
Implementation of the Adan (ADAptive Nesterov momentum algorithm) Optimizer in Pytorch
A Pytorch implementation of Attention on Attention module (both self and guided variants), for Visual Question Answering
Implementation of Band Split Roformer, SOTA Attention network for music source separation out of ByteDance AI Labs
Codebase for Berkeley Humanoid Lite
Implementation of CALM from the paper "LLM Augmented LLMs: Expanding Capabilities through Composition", out of Google Deepmind
Contrastive Language-Audio Pretraining
Contrastive Language-Image Pretraining
Implementation of CoCa, Contrastive Captioners are Image-Text Foundation Models, in Pytorch
Implementation of the conditionally routed attention in the CoLT5 architecture, in Pytorch
Making Protein folding accessible to all via Google Colab!
Open-AI's DALL-E for large scale training in mesh-tensorflow.
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Implementation of DASH, Warm-Starting Neural Network Training in Stationary Settings without Loss of Plasticity
Training and testing of DeepBind models.
Implementation of Dex1B: Learning with 1B Demonstrations for Dexterous Manipulation, from Ye et al of UCSD