Search Results for "nn"

...The core promise is that a single pretrained backbone can transfer well to many downstream tasks—from linear probing on classification to retrieval, detection, and segmentation—often requiring little or no fine-tuning. The repository includes code for training, evaluating, and feature extraction, with utilities to run k-NN or linear evaluation baselines to assess representation quality. Pretrained checkpoints cover multiple model sizes so practitioners can trade accuracy for speed and memory depending on their deployment constraints.

tt-metal, also referred to in its documentation as TT-Metalium, is Tenstorrent’s low-level software development kit for programming applications on Tenstorrent AI accelerators. The project is designed for developers who need direct access to the company’s Tensix processor architecture, exposing a programming model that is closer to hardware control than high-level inference frameworks. Instead of following a traditional GPU model centered on massive thread parallelism, the platform is built...

...Its notebooks are written to make the mechanics visible, so learners can understand gradients, backpropagation, embeddings, multilayer perceptrons, batch normalization, and Transformer-style ideas through code. The course is especially valuable because it avoids treating neural networks as black boxes. nn-zero-to-hero is best suited for programmers who want a practical, code-first introduction to how modern neural networks work.

Neuroph is lightweight Java Neural Network Framework which can be used to develop common neural network architectures. Small number of basic classes which correspond to basic NN concepts, and GUI editor makes it easy to learn and use.

Traditional Malaysian board game. Similar to Mancala. Implement NeuralNetwork (NN) agent, Min-Max, and Random move. System is based on Adam Cofer's Mancala system (2003). Also using Neuroph 2.5b by Zoran Servarac for NN. All code under GPLv3.

A disk based production quality RTree based upon Guttman’s quadratic split algorithm having following features: Buffering with dirty write, Index joins, Tree Seeding, Window and NN queries, Runtime STR Packing capability, Completely Thread safe.

Searches for adecuate design for feedforward backpropagation neural network, employing genetic algorithm as refining engine. The result topolgy may not be orthodox.

Mental is a neural network engine implemented in pure Python. Design goals are easy-to-read source code, completeness, and ease of use. Presently implements feed-forward, back-propagation networks. Intended primarily for instructional use.

nn-utility is a neural network library for C++ and Java. Its aim is to simplify the tedious programming of neural networks, while allowing programmers to have maximum flexibility in terms of defining functions and network topology.