Accessible large language models via k-bit quantization for PyTorch.
- llm
- machine-learning
- pytorch
- qlora
Repository Index
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Out-of-Core hybrid Apache Arrow/NumPy DataFrame for Python, ML, visualization and exploration of big tabular data at a billion rows per second 🚀
- dataframe
- python
- bigdata
- tabular-data
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
- chatgpt
- deep-learning
- instruction-following
- language-model
Qwen-Image is a powerful image generation foundation model capable of complex text rendering and precise image editing.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
- data-science
- foundation-models
- machine-learning
- tabpfn
FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
- causal-inference
- machine-learning
- graphical-models
- bayesian-networks
Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.
Text-audio foundation model from Boson AI
NVIDIA Isaac GR00T N1.7 - A Foundation Model for Generalist Robots.
Uniform Manifold Approximation and Projection
- umap
- dimensionality-reduction
- visualization
- machine-learning
Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy
- json
- python
- rust
- serialization
[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation
- depth-estimation
- image-synthesis
- metric-depth-estimation
- monocular-depth-estimation
This repository holds the device support files for the iOS, and I will update it regularly.
TranslatedSay goodbye to boredom; dedicated to creating practical small Python examples. For more conscientious Python tutorials, see https://ai-jupyter.com
- python
- data-science
- machine-learning
- python-web
A fast PostgreSQL Database Client Library for Python/asyncio.
- postgresql
- python
- python-3
- asyncio
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
- ctr
- click-through-rate
- deep-learning
- factorization-machines
Ingest, parse, and optimize any data format ➡️ from documents to multimedia ➡️ for enhanced compatibility with GenAI frameworks
- ingestion-api
- ocr
- omniparser
- parse-server
Translated⛽️ "Algorithm Clearance Handbook": A learning tutorial on "algorithms and data structures" starting from zero, with 200 "popular algorithm interview questions" and 1000+ "LeetCode problem analyses", continuously updated!
- leetcode
- python
- data-structure
- algorithms
An open source python library for automated feature engineering
- feature-engineering
- machine-learning
- data-science
- automated-machine-learning
A Collection of Variational Autoencoders (VAE) in PyTorch.
- pytorch
- pytorch-implementation
- vae
- vae-implementation
TranslatedA knowledge graph for mathematics (primary school to high school), English (grade 3 to high school), and junior high school physics: 1,644 knowledge points, 2,403 prerequisite edges, and 6,723 questions, aligned with the curriculum standards, with an adaptive prerequisite diagnostic.
- chinese
- curriculum
- diagnostic
- edtech
Adding guardrails to large language models.
OpenCompass is an LLM evaluation platform, supporting a wide range of models from OpenAI, Anthropic, Gemini, Qwen, GLM, DeepSeek, etc, across 100+ datasets covering knowledge, reasoning, coding, science, language, long-context, and safety.
- evaluation
- benchmark
- large-language-model
- llm