A Python implementation of Restricted Boltzmann Machines. It lets users initialize an RBM with a chosen number of visible and hidden units, train it on a matrix of training examples, run visible or hidden data, and let the network run freely. It is released under an MIT license.
Nixified packages AI executable code as self-contained Nix packages, including dependencies, and builds each project from source. Users can install and run the code with a single nix command on Linux distributions and on Windows through WSL. The project lists textgen and InvokeAI as packaged projects and offers GPU support for NVIDIA and AMD.
Creator Website provides machine-learning models, research, training resources, or evaluation tools.
NExT-Chat is a large multimodal model trained using the pixel2emb method, in which the model outputs location embeddings decoded by different decoders. This allows bounding boxes and masks in multimodal conversations and supports tasks such as visual grounding, region caption and grounded reasoning.
Juno is an AI researcher that designs studies, interviews real people, and works through the evidence to report findings. It offers REST, MCP and A2A API access with self-service API keys scoped to one organisation. Pricing is $45 USD per completed interview, with study design free and no seats or subscription; recruitment and incentives are not included.
A curated UC Berkeley Law Library guide collecting resources on generative AI applications in law school, higher education, and legal practice. It links news, studies, ethics materials and access-to-justice research, and notes that the resources will be regularly updated.
ahaz is an R package providing computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model. It depends on R version 2.10 or later, along with survival, Matrix and methods, and requires compilation. The package is authored and maintained by Anders Gorst-Rasmussen under GPL-2 and appears in the MachineLearning and Survival views.
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Nixified packages AI executable code as self-contained Nix packages, including dependencies, and builds each project from source. Users can install and run the code with a single nix command on Linux distributions and on Windows through WSL. The project lists textgen and InvokeAI as packaged projects and offers GPU support for NVIDIA and AMD.
Creator Website provides machine-learning models, research, training resources, or evaluation tools.
NExT-Chat is a large multimodal model trained using the pixel2emb method, in which the model outputs location embeddings decoded by different decoders. This allows bounding boxes and masks in multimodal conversations and supports tasks such as visual grounding, region caption and grounded reasoning.
Juno is an AI researcher that designs studies, interviews real people, and works through the evidence to report findings. It offers REST, MCP and A2A API access with self-service API keys scoped to one organisation. Pricing is $45 USD per completed interview, with study design free and no seats or subscription; recruitment and incentives are not included.
A curated UC Berkeley Law Library guide collecting resources on generative AI applications in law school, higher education, and legal practice. It links news, studies, ethics materials and access-to-justice research, and notes that the resources will be regularly updated.
ahaz is an R package providing computationally efficient procedures for regularized estimation with the semiparametric additive hazards regression model. It depends on R version 2.10 or later, along with survival, Matrix and methods, and requires compilation. The package is authored and maintained by Anders Gorst-Rasmussen under GPL-2 and appears in the MachineLearning and Survival views.
