The #1 AI Harness for Building Resumes, PDFs, Cover Letters & more, locally with 100+ LLMs support.
- text-similarity
- natural-language-processing
- word-embeddings
- python
Repository Index
47,133 repositories indexed
1–22 of 22 · Most stars
☁️ Build multimodal AI applications with cloud-native stack
- neural-search
- cloud-native
- deep-learning
- machine-learning
Low-code framework for building custom LLMs, neural networks, and other AI models
Hackable and optimized Transformers building blocks, supporting a composable construction.
Build, Manage and Deploy AI/ML Systems
- machine-learning
- model-management
- ai
- ml
A Python scikit for building and analyzing recommender systems
- recommender
- systems
- recommendation
- svd
Build Graph Nets in Tensorflow
- graph-networks
- graphs
- deep-learning
- neural-networks
Lightweight library to build and train neural networks in Theano
- deep-learning-library
- neural-networks
- python
- theano
Semantic segmentation on aerial and satellite imagery. Extracts features such as: buildings, parking lots, roads, water, clouds
- satellite-imagery
- aerial-imagery
- machine-learning
- segmentation
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
- tensorflow-recommenders
- tensorflow
- recommender
- recommender-system
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
A Theano framework for building and training neural networks
🧠+🎧 Build your music algorithms and AI models with the next-gen DAW 🔥
Build fully-functioning computer vision models with PyTorch
Rebuild a reference video as an editable HyperFrames project, compare the match against the original, and export an MP4.
- hyperframes
- motion-graphics
- python
- video
NNDial is an open source toolkit for building end-to-end trainable task-oriented dialogue models. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.
- machine-learning
- dialogue-systems
- dialogue-generation
- dialogues
This is the official repo for paper InteractiveWorld A Verifiable Human-Centric Environment for Building Better Interactive MLLM Assistants
Kraken CI is a continuous integration and testing system.
- continuous-integration
- continuous-testing
- build-automation
- testing
AFI VISION BUILDER
Build and deploy a serverless data pipeline on AWS with no effort.
- aws-cdk
- data-pipeline
- stepfunctions
- glue
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
- beginner-friendly
- beginner-project
- deep-learning
- deep-neural-networks
Trust metadata for AI agents — a stamp costs ~15 tokens, re-verifying costs 15,000. Agents stamp what they verify; the next agent runs 'akf check' and builds on it. pip install akf