An Open Source Machine Learning Framework for Everyone
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Updated
May 20, 2024 - C++
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.
An Open Source Machine Learning Framework for Everyone
On-device AI across mobile, embedded and edge for PyTorch
Investigation of the capabilities of foundations models in the context of time series forecasting
ChaiWithPy - the technical blog with a dash of tea
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
A Data Streaming Library for Efficient Neural Network Training
Pytorch domain library for recommendation systems
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
Implementing a Denoising Diffsuion Probabilistic Model (DDPM) on Tensorflow from scratch for Pokémon sprites synthesis
Supercharge Your Model Training
TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
This projects helps to recommend movies to users on the basis of what the user likes.
🤖 Collect practical AI repos, tools, websites, papers and tutorials on AI. 实用的AI百宝箱 💎
Source files and assets of the documentation website for the Insect Detect DIY camera trap for automated insect monitoring.
Simple and Distributed Machine Learning
Flower: A Friendly Federated Learning Framework
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Enabling PyTorch on XLA Devices (e.g. Google TPU)
Modern columnar data format for ML and LLMs implemented in Rust. Convert from parquet in 2 lines of code for 100x faster random access, vector index, and data versioning. Compatible with Pandas, DuckDB, Polars, Pyarrow, with more integrations coming..