Showing 601-620 of 657 projects
JoyCaption is an open, uncensored image captioning Visual Language Model (VLM) for training Diffusion models.
A deep reinforcement learning library for training robotic agents to plan pushing and grasping actions for manipulation tasks.
Paddle.js is a web project for the Baidu PaddlePaddle deep learning framework, enabling browser-based inference.
A simple Python script demonstrating the backpropagation algorithm for training a neural network.
A Rust training and learning program focused on the Databend community and ecosystem.
PyTorch code for a CVPR 2018 paper on few-shot learning, a technique for training ML models with limited data.
A PyTorch library for training and deploying efficient computer vision models using ViT-based architectures.
A self-evolving AI agent that can learn and improve itself without any training data.
A library for training reusable controllers for physically simulated characters using adversarial skill embeddings.
A Python library for training a humanoid robot to walk using reinforcement learning.
Official repository for the Uni-Mol Series Methods, a deep learning-based molecular modeling library.
Self-paced training course to learn the Akka.NET actor framework for building highly concurrent, distributed applications in C#.
Official PyTorch code for extracting features and training downstream models with emotion2vec: Self-Supervised Pre-Training for Speech Emotion Representation.
A PyTorch implementation of the TernausNet model for image segmentation, pre-trained on the Kaggle Carvana dataset.
A PyTorch implementation of Prototypical Networks for Few-Shot Learning, a powerful technique for training AI models on small datasets.
A Python library for training deep neural networks with weights and activations constrained to +1 or -1.
A comprehensive guide to learning modern JavaScript, from basics to latest ES2022 features.
A Python library for bi-level optimization, useful for training AI models and algorithms.
A Python toolbox for class-incremental learning, a machine learning technique for training models on a continuous stream of data.
A recurrent neural network trained on Kanye West's discography to generate new rap songs and lyrics.
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