Matlab is a great language for prototyping ideas. It comes with many libraries specially for machine learning and statistics. But when….
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Natural Language processing in the browser.
This package provides graphical computation for nn library in Torch7.
A completely unstable and experimental package that extends Torch's builtin nn library.
GNU Octave is a high-level interpreted language, primarily intended for numerical computations.(Free Matlab).
Serve Llama 2 and other large language models locally from command line or through a browser interface.
Compiler technology to transform a valid Open Neural Network Exchange (ONNX) graph into code that implements the graph with minimum runtime support.
A list of open LLMs available for commercial use.
Source code for Toxic Comment Classification Challenge.
Jan - Run LLMs like Mistral or Llama2 locally and offline on your computer, or connect to remote AI APIs.
Open source computer vision API based on open source models.
A complete object-oriented environment for machine learning in Matlab.
Perchance is a developer resource for coding, documentation, communities, security research, or software tools.
Use AutoML to do model compression.
Discover amazing ML apps made by the community.
A PyTorch-Based Framework for Deep Learning in Computer Vision.
Deep learning based facial detector for Python coming with facial landmarks.
ScalaNLP is a suite of machine learning and numerical computing libraries.
Pure-Rust tokenizer for GGUF models, compatible with llama.cpp tokenization.
AI-generated visualization prototyping and editing platform, support 2D, 3D models, combined with LLM(Large Language Model) for quick editing.
Coding agents help developers plan, implement, review, test, and debug software. For independent capability comparisons, see SWE-bench and.
A collaborative AI workspace, built on your company context. Build and orchestrate agents right alongside your team.
The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together.
Text Retrieval and Annotation Toolkit, definitely the most comprehensive toolkit I’ve encountered so far for Ruby.