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A fast and differentiable model predictive control (MPC) solver for PyTorch.
BlackJAX is a Bayesian inference library for Python, focused on ease of use, speed, and modularity.
An open-source speech recognition toolkit used for building speech recognition systems.
Zero-shot identity-preserving text generation in seconds for vibe coders.
This repository contains demos for the Transformers library by HuggingFace, a popular NLP and computer vision library.
Open-source implementation of General OCR Theory: Towards OCR-2.0 via a Unified End-to-end Model.
A PyTorch-based text-to-speech model that generates high-quality speech with expressive prosody.
This Python repository provides a deep dive into the math, principles, and code behind the 'Deep Learning' book, a.k.a. the 'Deep Learning Bible'.
A curated list of cool links and research papers related to Machine Learning applied to source code (MLonCode).
This project makes the Segment Anything Model (SAM) lightweight for mobile applications and beyond.
Code for robust monocular depth estimation, a key computer vision task for AI-powered apps.
Structured data extraction and instruction calling with ML, LLM and Vision LLM for AI-powered developers.
A Python tool that uses image recognition and reverse image search to find people's social media profiles, designed for 'vibe coders'.
VADER is a Python library for sentiment analysis, especially suited for social media text.
Simple examples to introduce the PyTorch machine learning library for Python developers.
An engine-agnostic deep learning framework in Java that supports popular AI/ML runtimes like TensorFlow, PyTorch, and ONNX.
Curated tutorials and resources for Large Language Models, AI Painting, and more.
A lite C++ AI toolkit with 100+ models for computer vision tasks like detection, segmentation, and image generation.
General technology for enabling AI capabilities with large language models (LLMs) and multilingual LLMs.
RAFT is a PyTorch library for training and evaluating visual transformers, a popular AI model for computer vision tasks.
A highly efficient visual representation learning framework for AI-powered coding tools and applications.
A Python library that enables interaction with SQL databases using natural language and large language models.
A Jupyter Notebook-based resource covering the essentials of probability and statistics, relevant for machine learning.
A collection of resources related to event-based vision technology, including papers, workshops, datasets, and code.
A comprehensive machine learning study plan for developers to learn and master ML concepts and tools.
An open-source language server that empowers software engineers with AI-powered functionality, not replacing them.
A machine learning toolkit for time series analysis and classification in Python.
A PyTorch library for processing spatiotemporal graph data using neural machine learning models.
Curated list of useful LLM, analytics, and data science resources for developers working with AI tools.
Open-source library for easily implementing eye tracking and gaze detection in Python projects.
Offline Text-to-Speech library for Python developers to add speech synthesis to their applications.
A collection of tutorials for the MONAI open-source AI framework for medical imaging and research.
A fully functional poker bot that uses computer vision, neural networks, and genetic algorithms to play poker on various platforms.
An on-premises, OCR-free unstructured data extraction, markdown conversion and benchmarking toolkit.
A digital human platform that allows anyone to create and use digital avatars.
Robust real-time face and facial landmark tracking on CPU with Unity integration for virtual youtubers/VTubers.
A curated list of Graph/Transformer-based papers and resources for fraud, anomaly, and outlier detection.
Practical course on using Large Language Models (LLMs) with tools like LangChain, HuggingFace, and PEFT.
A curated collection of resources for remote sensing and foundation models in machine learning.
This is a Python library for learning to act by watching unlabeled online videos using Video PreTraining (VPT).
Open-source tools for computational pathology and digital pathology research using deep learning and weakly-supervised learning.
An AI-powered agent for automatically generating complete math modeling papers.
A TypeScript-based open-source project for building AI-powered group chat applications.
A Python library for deep probabilistic analysis of single-cell and spatial omics data.
A collection of resources on using large language models for recommender systems
Open-source RPA framework for Python and Robot Framework, focused on automation and AI-powered document processing.
An implementation of DiffDock, a diffusion-based molecular docking method for binding prediction.
A scalable system for training large language models (LLMs) with a focus on efficiency and performance.
An open-source Python package for extracting radiomics features from 2D and 3D medical images and binary masks.
Adala is an autonomous data labeling agent framework for building AI applications with GPT-4 and other AI tools.
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