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A benchmark framework for TensorFlow, a popular open-source machine learning library.
The Alan AI SDK for Cordova provides a conversational AI interface for building voice-enabled apps.
A deep learning-based library for human pose estimation using the TensorFlow framework.
A TensorFlow library for learning distributed representations of code using the code2vec neural network model.
A Python library that converts words into images, useful for AI-powered image generation and visualization.
Tensorflow learning notes, code, and machine learning advancement series for developers.
A curated collection of machine learning and deep learning resources for developers.
NVTabular is a feature engineering and preprocessing library for tabular data used in recommender systems.
A Python-based framework for building large language models for computer vision tasks.
A PyTorch library for deep learning with SVG data, enabling the generation of vector graphics animations.
This repository provides a PyTorch implementation of a state-of-the-art method for multi-view 3D human pose estimation.
Interact with OpenAI's ChatGPT via Telegram and Voice using this TypeScript-based bot.
A comprehensive survey of GAN inversion techniques, a powerful method for manipulating and editing AI-generated images.
Implementation of triplet loss in TensorFlow for embedding-based machine learning models.
A blog for developers interested in using AI tools and technologies in their projects.
A Python implementation of the Kalman filter, a powerful algorithm for state estimation and tracking.
A powerful and extensible machine learning framework for hackers and AI enthusiasts, built in Rust.
A curated list of free data science and machine learning resources for developers.
A collection of experiments and examples using the LangChain framework for building applications with large language models.
A Jupyter Notebook project that explores techniques for reconstructing images from Stable Diffusion models.
This repository contains the book 'Machine Learning Yearning' by Andrew Ng, a renowned expert in machine learning.
A curated list of research papers on visual grounding, a key technique for multimodal AI.
A fast, general, and tested differentiable structured prediction library for PyTorch.
A computer vision curriculum and tutorials for developers interested in machine learning and AI.
A lightweight CPU/GPU Matrix and Tensor Template Library in C++/CUDA for machine learning.
A Python library for predicting depth maps from single RGB images using a fully convolutional residual network (FCRN).
A PyTorch toolkit for 2D Human Pose Estimation, useful for developers working on computer vision and AI-powered applications.
Official PyTorch implementation of Cold-Diffusion, a technique for different transformations.
A comprehensive curriculum for learning machine learning and AI development in Python.
A C++ inference library for various SVC/TTS models, including DiffSinger, DiffSVC, HiFiGAN, and VITS.
Advanced evolutionary computation library built on PyTorch for AI and machine learning applications.
A lightweight C++ library for using Keras (TensorFlow) models in edge computing and embedded applications.
A computer vision library for developers working with AI tools and models.
A PyTorch-based audio processing library for spectrograms, CQT, and neural network-based preprocessing.
A Python API wrapper for Poe.com, providing free access to GPT-4, Claude, Llama, and other AI models.
A repository for learning TensorFlow, a popular open-source machine learning library in Python.
ToRA is a series of Tool-integrated Reasoning LLM Agents for solving mathematical reasoning problems.
The final version of an AI-designed keyboard layout, written in C, for vibe coders.
Tools to train a generative model on arbitrary audio samples for vibe coders focused on AI tools.
A collection of resources on controllable generation with text-to-image diffusion models for vibe coders.
An A3C algorithm implementation for training an AI agent to play Super Mario Bros
CogView4 is a high-resolution, text-to-image AI model for vibe coders focused on image generation.
Efficient PyTorch practices for training large datasets
A Python library that implements Dilated Residual Networks, a type of convolutional neural network architecture.
A benchmarking tool for measuring performance of deep learning operations on different hardware.
A PyTorch implementation of a generative adversarial network for learning cross-domain relations.
A high-quality image upscaler plugin for the Stable Diffusion WebUI, powered by AI technology.
An implementation of Fully Convolutional Networks (FCNs) in TensorFlow for image segmentation tasks.
A lightweight face detection model with landmark detection, useful for building computer vision applications.
This is a Python library for developing AI-powered video games, likely targeting vibe coders and AI enthusiasts.
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