Blog : Artificial Intelligence Study Record 🤖
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Updated
May 15, 2024 - HTML
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.
Blog : Artificial Intelligence Study Record 🤖
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Label Studio is a multi-type data labeling and annotation tool with standardized output format
A web extension for identifying dark pattern on websites powered by Fine Tuned BERT Model for classificaiton on dark pattern custom dataset,
An I/O benchmark for deep Learning applications
MII makes low-latency and high-throughput inference possible, powered by DeepSpeed.
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.
A hub for hands-on learning and applying machine learning algorithms.
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A collection of algorithms, simulations, generators, utilities and mathematical scripts written in Python.
nannyml: post-deployment data science in python
Implementation of Alphafold 3 in Pytorch
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
depyf is a tool to help you understand and adapt to PyTorch compiler torch.compile.
An Open Source Machine Learning Framework for Everyone
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
#100 days with Machine-Learning/Data-Science
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Investigation of the capabilities of foundations models in the context of time series forecasting