Repository Index

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

• gbdt
• gbm
• machine-learning
• data-mining

Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 600+ LLMs (Qwen3.8, DeepSeek-V4, GLM-5.1, InternLM3, Llama4, ...) and 300+ MLLMs (Qwen3-VL, Qwen3-Omni, InternVL3.5, Ovis2.5, GLM5.3, Gemma4, Llava, Phi4, ...) (AAAI 2025).

• llm
• lora
• sft
• multimodal

Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

• gpt-2
• adaptation
• language-model
• gpt-3

🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP

• bert
• sentence-encoding
• deep-learning
• clip-model

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

• machine-learning
• decision-trees
• gradient-boosting
• gbm

A Python implementation of LightFM, a hybrid recommendation algorithm.

• machine-learning
• recommender
• python
• matrix-factorization

Module for automatic summarization of text documents and HTML pages.

• python
• lsa
• textteaser
• html-page

allRank is a framework for training learning-to-rank neural models based on PyTorch.

• learning-to-rank
• ndcg
• ranking
• information-retrieval

:wink: :cyclone: :strawberry: TextRank implementation in Golang with extendable features (summarization, phrase extraction) and multithreading (goroutine).

• go
• golang
• textrank
• summarization