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A library for using ONNX, an open format for machine learning models, with the TensorFlow deep learning framework.
Overview of modern deep learning techniques applied to natural language processing
A TensorFlow-based library for image completion using deep learning techniques.
This open-source Python library is a toolkit for building speech synthesis and voice conversion systems using deep learning.
Small-scale machine learning projects to help developers understand core ML concepts in Python.
A library for implementing hyperparameter optimization methods for machine learning and deep learning models.
A clean and readable PyTorch implementation of the CycleGAN generative adversarial network for image-to-image translation.
A Python library that provides a live plot of training loss for Keras and PyTorch models in Jupyter Notebooks.
Standardized datasets for 2D and 3D biomedical image classification
PyTorch implementation of the Asynchronous Advantage Actor Critic (A3C) algorithm for deep reinforcement learning.
Minimal Deep Q Learning (DQN & DDQN) implementations in Python using the Keras library for reinforcement learning.
A comprehensive roadmap and resource collection for low-level programming and system programming.
A generic implementation of Deepmind's AlphaZero algorithm in Julia for developers
A repository for reinforcement learning (RL) implementations using PyTorch.
A comprehensive list of contrastive self-supervised learning papers for machine learning researchers.
Offline AI-powered inference engine for art, chatbots, and automated workflows focused on privacy and self-hosting
PORORO is a powerful Python library that provides a wide range of neural models for natural language processing tasks.
Official repository for the Mish activation function, a novel neural network activation function.
Fast CIFAR-10 training to state-of-the-art accuracy using PyTorch and a specialized CNN architecture.
Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.
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