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This repository contains tutorials, assignments, and competitions for MIT's deep learning courses, covering a wide range of AI and machine learning topics.
A comprehensive repository of resources for 3D machine learning, including papers, datasets, and frameworks.
Large-scale Chinese natural language processing corpus for training and fine-tuning language models
A collection of machine learning blogs and code samples, focused on algorithms, reinforcement learning, and scikit-learn.
A Blender addon that integrates Stable Diffusion for generating textures and images within Blender.
CenterNet is a Python library for object detection, 3D detection, and pose estimation using center point detection.
Open-source reproduction of Meta's LLaMA 7B language model for AI and machine learning research.
Large World Model -- Modeling Text and Video with Millions Context, a powerful AI tool for developers.
Easy Docker setup for Stable Diffusion, an AI-powered image generation tool, with a user-friendly UI.
A TypeScript plugin for Photoshop that enables easy integration of Stable Diffusion AI image generation.
A Python library for adapting the Segment Anything Model for zero-shot visual tracking with motion-aware memory.
An architecture-free neural network library for Node.js and the browser, useful for building AI-powered applications.
A tutorial for building Neural Machine Translation models using TensorFlow.
A stock trading bot powered by Trump tweets, built using Python.
Facebook AI Research's end-to-end speech recognition toolkit written in C++.
A curated list of awesome self-supervised learning methods for computer vision, NLP, robotics, and more.
PyTorch implementations of deep reinforcement learning algorithms and environments for AI/ML research.
This is a Tensorflow-based convolutional neural network for text classification, useful for building NLP applications.
A Go-based framework for building chatbots and AI-powered assistants using Feishu (Lark) and OpenAI's GPT-4 models.
Open Machine Intelligence Framework for Hackers, built in Rust, focused on AI/ML tools and libraries.
A Telegram bot built with Python and OpenAI's API, allowing users to interact with ChatGPT.
A collection of personal notes and summaries on the DeepLearning.ai specialization courses for developers interested in deep learning.
A PyTorch-based implementation of the Single Shot MultiBox Detector for object detection in computer vision tasks.
A beginner's guide to machine learning and image classification with neural networks in Python.
Plugin for Stable Diffusion WebUI that optimizes large image generation through tiled diffusion and VAE techniques.
An instruction-tuned LLM with Chinese medical knowledge for AI-powered healthcare applications.
A Tensorflow solution for Named Entity Recognition (NER) using the BERT-BiLSTM-CRF model with BERT fine-tuning.
An easy-to-use PyTorch to TensorRT converter for optimizing AI model inference on NVIDIA Jetson devices.
A PyTorch implementation of the DenseNet architecture, a state-of-the-art convolutional neural network.
Edward is a probabilistic programming language in TensorFlow for deep generative models and variational inference.
A curated collection of papers and resources related to various aspects of face recognition technology.
AITemplate is a Python framework for rendering neural networks into high-performance CUDA/HIP C++ code, optimized for GPU inference.
Infrastructure components for cost-efficient GenAI model inference and deployment
A comprehensive roadmap and collection of resources for learning and building deep learning applications.
A TensorFlow implementation of the Transformer, a popular deep learning model for natural language processing tasks.
A community-driven platform to read and chat with AI bots powered by ChatGPT for developers.
An open-source deep learning library developed by Amazon for building scalable machine learning models.
Visual analysis and diagnostic tools to facilitate machine learning model selection.
Tune-A-Video is a one-shot text-to-video generation tool that fine-tunes image diffusion models.
A curated list of papers and resources for 3D reconstruction from images, useful for computer vision and motion estimation.
Massively parallel deep reinforcement learning library for efficient, stable, and lightweight RL models.
A Python library for controllable and consistent human image animation with 3D parametric guidance
A Python library that provides a simple interface for using popular NLP models like BERT, GPT-2, XLNet, and T5 for various tasks.
A Python library that solves the Traveling Salesman Problem using Self-Organizing Maps.
Text recognition (OCR) with deep learning methods, a benchmark for scene text recognition.
A collection of implementations from a free course on deep reinforcement learning using TensorFlow and PyTorch.
An open-source AI avatar generator web app built with Next.js and React.
A PyTorch library for computing Fréchet Inception Distance (FID), a metric used to evaluate generative adversarial networks.
A simple reinforcement learning training library for reasoning tasks.
Jupyter notebooks for learning and experimenting with the popular scikit-learn machine learning library.
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