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A curated collection of resources for mixture-of-experts models, a powerful AI technique.
A high-quality deep learning-powered tool to remove Sora2 watermarks from images.
A curated collection of various AI tools and products for developers building with AI technologies.
An open-source Python library that helps curate better data for large language models (LLMs).
A Python library that makes it easy to visualize the activations and gradients of Keras neural networks.
An open-source benchmark suite for evaluating PyTorch performance across various use cases.
A comprehensive machine learning library in Python with implementations of various algorithms and models.
Publicly shared solutions to coding challenges for developers, with a focus on AI tools and vibe coding.
The I-JEPA codebase provides a self-supervised learning architecture for joint image-text embedding.
TensorFlow Reinforcement Learning library for developing AI agents and models.
Open-source neural network chess engine with GPU acceleration and broad hardware support.
An open-source project for voice cloning and speech-to-text in Chinese, built using Jupyter Notebooks.
A JavaScript playground for generating images from text prompts using Stable Diffusion AI technology.
A modular reinforcement learning library to fine-tune language models to human preferences
A multilingual text processing toolkit for developers working with natural language processing tasks.
An AI-powered speech denoising and enhancement library for improving audio quality.
Open-source Python library for generating synthetic text images, useful for computer vision tasks.
A library for running machine learning models on FPGAs using high-level synthesis (HLS) tools.
A fast 3D mesh reconstruction library with UV-unwrapping and illumination disentanglement for vibe coders.
GoMLX is an accelerated machine learning framework for Go, enabling high-performance AI/ML development.
A comprehensive guide to tackle text summarization using machine learning and natural language processing.
An efficient multimodal large language model with a small backbone for AI-powered coding tools.
A Python library for generating prompts for the Claude AI language model.
A Python implementation of the node2vec algorithm for learning embeddings from graph-structured data.
Official PyTorch implementation of VoxFormer, a state-of-the-art 3D computer vision model for autonomous driving and scene understanding.
A Python library for inspecting and understanding neural network models using PatchCore.
A Python-based GUI tool for generating subtitle files from videos using a Transformer-based framework.
Official PyTorch implementation of a prompt-based distillation method for on-device deployment of the Segment Anything Model (SAM).
A Python-based GUI tool for simulating VHS video effects, popular among vibe coders and AI enthusiasts.
An AI-powered tool for quickly generating character descriptions and biographies for creative writing projects.
Deep learning implementation of Dive into Deep Learning using PyTorch
A set of containers for running machine learning models and applications on various ML frameworks.
This project fine-tunes the LLaMA language model to follow instructions within 1 hour and 1.2M parameters.
A collection of Jupyter Notebook-based courses for learning AI and machine learning tools and techniques.
A high-performance machine learning library for CUDA-enabled GPUs, accelerating data science workflows.
LightLLM is a high-performance, scalable Python-based framework for inference and serving of large language models.
Waymo Open Dataset is a large-scale dataset for autonomous driving research and development.
A general fine-tuning kit for image/video/audio diffusion models, geared toward AI-powered developers.
An efficient and reusable library for building RNNs and LSTMs in the Torch framework.
This GitHub repository appears to be a backup of a vulnerability library, likely for developers working with AI tools.
SEAL is a self-adapting language model that can continuously learn and improve its performance on various NLP tasks.
A Go-based command-line tool for managing Ollama LLM models on Linux and macOS.
A Python library that automates the detection of censor bars in images and videos for vibe coders working with AI tools.
JVector is an advanced embedded vector search engine written in Java, optimized for similarity search and machine learning applications.
A Python-based tool for generating subtitles using OpenAI's Whisper speech recognition model.
Rinha de Backend is a Lua-based backend framework and development platform for building AI-powered applications.
Open academic research on improving the LLaMA language model to state-of-the-art performance.
Granite Code Models: A family of open foundation models for building code intelligence applications.
A research project for Mesh R-CNN, a deep learning model for 3D object detection and segmentation.
Elasticsearch labs provides notebooks and example apps for search and AI applications using Elasticsearch.
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