Trending Projects

A curated collection of recent advances in vision-language pretrained models (VL-PTMs) for AI and multimodal applications.

Automatically generate programs using AI and genetic algorithms, with tutorials and examples.

A library for accelerating deep neural networks through channel pruning, a model compression technique.

A Python repository focused on natural language processing (NLP) tools and techniques.

A collection of chapter summaries for the Deep Learning Book, making it easier to understand.

A high-performance, flexible neural network training interface on TensorFlow for deep learning researchers and engineers.

Python library for Kalman filtering and optimal estimation algorithms.

A TensorFlow-based implementation of Mask R-CNN, a popular deep learning object detection and instance segmentation model.

A recurrent neural network for generating little stories about images.

A large language model developed by Baichuan Intelligent Technology for AI-powered applications and research.

Easy benchmarking of publicly available convolutional neural network implementations.

AnyQ is a FAQ-based question answering system for building chatbots and dialogue systems.

A simple, powerful, and efficient API for building deep learning models in Python.

Open-source implementation of the Mask Scoring R-CNN model for instance segmentation and object detection.

A TensorFlow template application for building deep learning models and deploying them to production.

A robust Python tool for text-based AI training and generation using GPT-2.

CornerNet-Lite is a Python library for object detection, focused on efficient and accurate models.

A 1st place solution for a Kaggle competition on improving product search relevance using NLP.

A demo for running neural networks across different deep learning frameworks

Tutorials and implementations for self-normalizing neural networks, a type of AI model.

A PyTorch library for rethinking network pruning techniques to improve model performance.

Google Deep Learning Notes - a comprehensive tutorial on TensorFlow for machine learning and deep learning.

A C++ library for factorization machines, a powerful model for predicting ratings or rankings.

A Python library for implementing a recommender system, useful for developers building recommendation engines.

A deep learning library for Haskell, enabling developers to build advanced AI models and applications.

A state-of-the-art Python implementation of the unbounded / large-scale NeRF view synthesis technique.

A Python library for learning graph embeddings and applying them to tasks like link prediction.

This GitHub repository contains a dataset for training a raccoon detector using TensorFlow.

R-FCN: Object Detection via Region-based Fully Convolutional Networks - a Matlab library for computer vision tasks.

Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution.

Unsupervised learning of symmetric 3D objects from images, for computer vision and 3D reconstruction.

A Python library for creating and performing exact inference on Bayesian Belief Networks.

A PyTorch toolkit for 2D Human Pose Estimation, useful for developers working on computer vision and AI-powered applications.

A TypeScript framework for building AI-powered applications and tools.

An open-source PyTorch library for training Generative Adversarial Networks (GANs) with spectral normalization and projection discriminators.

A TensorFlow-based sequence-to-sequence (seq2seq) RNN model for signal forecasting and time series prediction.

A Python library that provides a fast and efficient keyword extraction algorithm using NLTK.

A Keras implementation of BERT for feature extraction and prediction tasks.

Tangent is a Python library for source-to-source debuggable automatic differentiation.

A repository containing a visual explanation of the TensorFlow source code for developers.

A Python library for applying artistic styles to images using neural networks.

Skyline is a Python library for detecting anomalies in time series data, part of the Kale stack.

SLING is a natural language frame semantics parser written in C++ that can be used for machine learning and natural language processing.

A PyTorch-based Faster R-CNN implementation for object detection, used for AI/ML research and development.

PyTorch implementation for few-shot photorealistic video-to-video translation.

An MXNet implementation of Mask R-CNN, a deep learning object detection and segmentation algorithm.

Open academic research on improving the LLaMA language model to state-of-the-art performance.

A Python library for building a better Chinese character recognition OCR than Tesseract.

A free MOOC course on creative applications of deep learning with TensorFlow for developers.

A simple Tensorflow-based chatbot demo for developers interested in building conversational AI.