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An open-source toolkit for computer vision tasks, supporting a wide range of deep learning models and applications.
A PyTorch implementation of the DenseNet architecture, a state-of-the-art convolutional neural network.
A TypeScript-based desktop app for building end-to-end object detection models from images and videos.
A high-performance face recognition library for developers built on PaddlePaddle and PyTorch.
A Java-based AI constraint solver for optimizing vehicle routing, employee rostering, and other planning problems.
Top2Vec learns jointly embedded topic, document and word vectors for semantic search and topic modeling.
A comprehensive AI roadmap and knowledge tree for developers focused on AI tools and technologies.
A curated collection of resources for learning and implementing AIOps, covering various aspects of AI/ML in operations.
A large-scale dataset of raw MRI measurements and clinical MRI images for medical imaging research.
An ongoing research project for training transformer language models at scale, including BERT and GPT-2.
A large-scale text-to-image prompt gallery dataset based on Stable Diffusion for AI art and prompt engineering.
A novel neural operator called Involution that can be used for image classification, object detection, and other computer vision tasks.
LLM framework for synthesizing scientific literature via retrieval-augmented generation with academic paper indexing.
A state-of-the-art pretrained language model for proteins, enabling advanced AI-powered protein analysis.
Avatarify is a desktop application that allows you to animate your face and create realistic videos with AI.
SMAC3 is a versatile Bayesian optimization package for hyperparameter optimization in machine learning models.
High-fidelity performance metrics for generative models in PyTorch
A Python library for deep learning-based object pose estimation, with ROS inference capabilities.
Official PyTorch repo for GAN's N' Roses, providing diverse im2im and vid2vid selfie to anime translation.
Streamlines prompt design for developers and non-technical users with a low-code approach.
A scalable multi-agent reinforcement learning simulator for autonomous driving research and development.
Open-source projects related to trustworthy AI, including causal discovery, causal inference, and causality.
Scripts and baselines for the Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge.
Alpa is a distributed training and serving framework for large-scale neural networks with auto-parallelization.
A self-modifying AI framework built on FastAPI, SQLModel, and Streamlit for building AI-powered web applications.
An adapted version of the Kohya Trainer for easier cloning, focused on AI coding tools and fine-tuning language models.
Automatically visualize any dataset, any size with a single line of code, built for vibe coders.
Efficient AI model training on medical images using any deep learning framework.
A JavaScript-based Gobang (Five-in-a-Row) AI game, built using the Alpha-Beta pruning algorithm.
A curated list of resources for transfer learning and domain adaptation research and applications.
A fast symbolic computation library for robotics, with capabilities like code generation and nonlinear optimization.
Apache OpenNLP is a machine learning-based toolkit for natural language processing (NLP) tasks.
DeepSDF is a Python library for learning continuous signed distance functions for shape representation.
AgentTuning: A Python library for enabling generalized agent abilities in large language models (LLMs).
A proof-of-concept for a transformer-based time series prediction model in Python.
This repository contains code examples and notes for learning the PyTorch deep learning library.
Properly implemented ResNet-s for CIFAR10/100 in PyTorch, matching the original paper description.
This repository provides a tutorial on using chatGPT, prompts, and large language models (LLMs) for developers.
A free online book that teaches machine learning from scratch using Jupyter Notebooks.
A differentiable renderer for 3D reasoning and reconstruction, useful for AI-driven 3D applications.
This repository contains a PyTorch implementation of GIRAFFE, a generative model for representing 3D scenes as compositional neural feature fields.
A C++ library that provides optimized YOLO object detection models for deployment on NVIDIA Jetson platforms.
A pure Python implementation of Spiking Neural Networks for tasks like MNIST classification.
A deep learning-based library for human pose estimation using the TensorFlow framework.
Unofficial PyTorch implementation of the Conformer model for speech recognition tasks.
A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery.
A Python library for 3D segmentation using NeRFs, presented at NeurIPS 2023 and IJCV 2025.
Databricks' Dolly, a large language model trained on the Databricks Machine Learning Platform
A fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
High-resolution photorealistic video-to-video translation powered by PyTorch.
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