Showing 341-360 of 1,001 projects
Edward is a probabilistic programming language in TensorFlow for deep generative models and variational inference.
An open-source framework for prompt-learning, a powerful technique for fine-tuning language models.
A powerful PyTorch-based library for time series forecasting with support for AI and machine learning.
Super-scale images using Residual Dense and Adversarial Networks for computer vision tasks.
MegEngine is a fast, scalable, and easy-to-use deep learning framework that supports auto-differentiation.
This repository provides interview preparation resources for AI and machine learning developers.
This repo contains a course on Deep Reinforcement Learning from Hugging Face.
A machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
A comprehensive collection of geospatial tools and resources for data analysis, machine learning, and spatial applications.
An engine-agnostic deep learning framework in Java that supports popular AI/ML runtimes like TensorFlow, PyTorch, and ONNX.
A deep learning-based library for person re-identification in PyTorch.
A PyTorch repository for practicing image classification on the CIFAR-100 dataset using various deep learning models.
A high-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
A collection of code examples and baselines for common data science and machine learning competitions.
An open-source toolbox for text detection, recognition, and understanding tasks powered by PyTorch.
Flux is a machine learning library for the Julia programming language that provides a user-friendly and expressive interface for building neural networks.
A comprehensive resource for learning deep reinforcement learning with Python and Jupyter Notebook.
A comprehensive collection of PyTorch learning resources for AI and deep learning developers.
A JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU for speech-to-text tasks.
ML library for extracting metadata & text from PDFs using CRF & deep learning
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