A common interface for registering, validating and auditing machine learning artifacts
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Updated
May 9, 2024 - Python
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
A common interface for registering, validating and auditing machine learning artifacts
Supervisely SDK for Python - convenient way to automate, customize and extend Supervisely Platform for your computer vision task
A small repo to host some materials for a short presentation re reproducibility ~ shallow/deep learning during the ReproNim lecture series.
OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference
The Programmable Neuro-Symbolic AGI that lets you program its behavior using Graph-based Prompt Programming: for people who want AI to behave as expected
🤖 Collect practical AI repos, tools, websites, papers and tutorials on AI. 实用的AI百宝箱 💎
Lua-Based Machine, Deep And Reinforcement Learning Library (For Roblox And Pure Lua). Contains 34 Models!
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Application for object detection of microfibers in sludge samples extracted from residual water treatment plants.
An Open Source Machine Learning Framework for Everyone
Scikit-learn friendly library to interpret, and prompt-engineer text datasets using large language models.
AI сrypto trading on Binance, Huobi
Energy Management Using Real-Time Non-Intrusive Load Monitoring
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
Main repository gathering all content of the EMBO-DL4MIA 2024 course.
Creating Theoretician Friendly Educational Material For PyTorch
Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
TorchOpt is an efficient library for differentiable optimization built upon PyTorch.
Physics-Informed Neural networks for Advanced modeling