Llama3 implementation one matrix multiplication at a time.
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A Natural Adversarial Language Processing framework built over Tensorflow.
General natural language facilities for node.
A PyTorch implementation of DeepDream.
A parallel neural net microframework.
A PyTorch implementation of Justin Johnson's neural-style (neural style transfer).
Natural Language processing in the browser.
A Julia package for non-negative matrix factorization.
Nn builder is a python package that lets you build neural networks in 1 line.
This package provides graphical computation for nn library in Torch7.
Open-source module for running AI workloads on Kubernetes in an optimized way.
Free open-source SPSS alternative — menu-driven desktop statistics (t-tests, ANOVA, regression, survival analysis, ROC) with SPSS.sav import/export.
Fujitsu Research's post-training quantization pipeline for LLMs (QEP, AutoBit, JointQ, rotation) with vLLM plugin (arXiv:2603.28845).
Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
A library that enables training PyTorch models with differential privacy.
A list of open LLMs available for commercial use.
Source code for Toxic Comment Classification Challenge.
Gitingest - Turn any Git repository into a simple text digest of its codebase so it can be fed into any LLM.
Google TPU optimizations for transformers models.
Python-based meta-heuristic optimization techniques.
A Julia framework for probabilistic graphical models.
Python library for working with Probabilistic Graphical Models.
A better version of Jieba, developed by Peking University.
Production-Ready LLM Agent SDK for Every Developer.