Popular GitHub Repositories for Minimal

Minimal and clean examples of machine learning algorithms implementations

Minimal web UI for ChatGPT.

Minimal web UI for GeminiPro.

Minimal keyword extraction with BERT

Python package for easily interfacing with chat apps, with robust features and minimal code complexity.

min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

TransmogrifAI (pronounced tr?ns-m?g?r?-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

The Cradle framework is a first attempt at General Computer Control (GCC). Cradle supports agents to ace any computer task by enabling strong reasoning abilities, self-improvment, and skill curation, in a standardized general environment with minimal requirements.

Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch

A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Minimal Deep Q Learning (DQN & DDQN) implementations in Keras

A minimal web-UI for talking to Ollama (and OpenAI) servers

Pure Rust implementation of a minimal Generative Pretrained Transformer

AI-in-a-Box leverages the expertise of Microsoft across the globe to develop and provide AI and ML solutions to the technical community. Our intent is to present a curated collection of solution accelerators that can help engineers establish their AI/ML environments and solutions rapidly and with minimal friction.

A simple, minimal wrapper for tensorflow's seq2seq module, for experimenting with datasets rapidly

minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.

Minimal and clean examples of machine learning algorithms implemented in Julia

A minimal implementation of diffusion models for text generation

A minimal codebase for finetuning large multimodal models, supporting llava-1.5/1.6, llava-interleave, llava-next-video, llava-onevision, llama-3.2-vision, qwen-vl, qwen2-vl, phi3-v etc.