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
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.
Fawkes, privacy preserving tool against facial recognition systems. More info at https://sandlab.cs.uchicago.edu/fawkes
🦄 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
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.
PyTorch implementation of the MIDAS algorithm for single-cell multimodal data integration (Nature Biotechnology 2024).
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
Research experiments exploring uncommon quant techniques.
▶️ An awesome list of awesome Brazilian YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.