Making large AI models cheaper, faster and more accessible
- deep-learning
- hpc
- large-scale
- data-parallelism
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Making large AI models cheaper, faster and more accessible
Open-Sora: Democratizing Efficient Video Production for All
The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
FinRL®: Financial Reinforcement Learning. 🔥
TranslatedConvert AI papers to GUI,Make it easy and convenient for everyone to use artificial intelligence technology。
Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive learning.
Open-source offline translation library written in Python
数学(小学到高中)、英语(三年级到高中)、初中物理的知识图谱:1644 个知识点、2403 条先修边、6723 道题,对齐课标,附自适应前置诊断。
modular quant framework.
A curated list of awesome responsible machine learning resources.
Drawing Bayesian networks, graphical models, tensors, technical frameworks, and illustrations in LaTeX.
Nitric is a multi-language framework for cloud applications with infrastructure from code.
🦄 The Enterprise™ programming language
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
Python package for stacking (machine learning technique)
Frametell: turn your ideas and material into vivid explainer videos with an AI director agent. Local-first, any model.
[Tech Report] Simplifying and Improving On-Policy Distillation for Few-step Diffusion
📄 Office / PDF / iWork / CAD / 3D / RAW / 360° 🔒 Browser-local preview & conversion 🤖 Agent CLI with OCR, structured text & layout extraction ⚡ Rust + WebAssembly 🧩 Vue 3 integration. Open-source, local-first. Your files, your device.
Kubernetes operator for self-hosted LLM inference across a heterogeneous GPU fleet: NVIDIA CUDA, AMD Vulkan, and Apple Silicon Metal. Runtimes: llama.cpp, vLLM, TGI, mlx-server. Multi-GPU sharding, model caching, OpenAI-compatible endpoints. Apache-2.0, run across homelab and on-prem fleets, actively developed.
OpenScribe is an open-source AI scribe that records patient encounters and generates structured clinical notes automatically. You keep full control over data, workflows, and patient privacy with no vendor lock-in.
⚡A curated list of awesome resources related to the Ⱥlgorand Blockchain ⛓
A tool for quantitative risk analysis of Android applications based on machine learning techniques
AI-powered SDK featuring algorithmic trading, backtesting, deployment on 100+ exchanges, and multiple optimization engines.
A small machine learning library written in Lisp (Clojure) aimed at providing simple, concise implementations of machine learning techniques and utilities.