Trending Projects

An open-source codebase for generating high-fidelity podcasts from text using AI models.

A curated collection of deep learning research papers organized by task and with the latest state-of-the-art work labeled.

Low-code framework for building custom LLMs, neural networks, and other AI models

Highly performant CUDA-accelerated library for gaussian splatting, useful for AI and computer vision applications.

LLMRouter is an open-source library that provides a framework for routing and managing large language models (LLMs) in Python applications.

A friendly machine learning library for the web, providing easy-to-use AI/ML capabilities for developers.

Building AI agents using large language models, providing tools and frameworks for vibe coders.

A Tensorflow solution for Named Entity Recognition (NER) using the BERT-BiLSTM-CRF model with BERT fine-tuning.

Collection of research papers on computational advertising techniques like CTR prediction and recommender systems.

A comprehensive collection of AI-powered tools, techniques, and resources for building advanced data-driven applications.

An open LLM devops platform for building next-gen enterprise AI applications with powerful features like GenAI workflow, RAG, Agent, and model management.

Malmo is a platform for AI experimentation and research built on top of Minecraft, enabling new challenges in AI research.

A Python library for using CLIP and BLIP models to generate image prompts.

A repository for quantitative analysis, strategies, and backtests for algorithmic trading and finance research.

Open-source semantic layer for AI, BI, and embedded analytics

An open-source deep learning book based on TensorFlow 2.0, providing hands-on examples for vibe coders.

Efficient implementations of state-of-the-art linear attention models for large language models and NLP tasks.

Comprehensive cheatsheet for learning and using transformers and large language models from Stanford's CME 295 course.

State-of-the-art deep learning based audio codec supporting mono 24 kHz and stereo 48 kHz audio.

One-stop solution for creating your digital avatar from chat history and fine-tuning LLMs to capture your unique style

A comprehensive roadmap and collection of resources for learning and building deep learning applications.

A fast and accurate object detection method with new technologies like NAS backbones and efficient RepGFPN.

A PyTorch-based toolkit for speech processing, including ASR, speaker recognition, and speech enhancement.

An open-source guide for building a 'Tiny-Universe' of large language models and AI tools.

A multimodal evaluation toolkit for assessing AI models across text, image, video, and audio tasks.

Fast R-CNN is a high-performance object detection library written in Python.

Open-source pre-training model framework in PyTorch with a pre-trained model zoo for natural language processing tasks.

A web-based audio transcription and translation tool powered by Whisper AI models, built with Svelte.

A free MLOps course that covers machine learning model deployment and monitoring

A powerful local research tool that leverages AI to search and retrieve information from multiple sources.

A powerful graph embedding library for generating node embeddings from large-scale graph-structured data.

A lightweight collaborative text span annotation tool for named entity recognition and event extraction.

A convertor/conversion tool for deep learning models across various deep learning frameworks/software.

VMZ is a PyTorch-based model zoo for video modeling tasks, with a focus on building AI-powered video applications.

Run state-of-the-art 🤗 Transformers AI models directly in the browser, without a server.

Optuna is a hyperparameter optimization framework that enables efficient and scalable model tuning for machine learning.

Continuously updated machine learning and deep learning notes and demos by a dedicated researcher.

Industrial-strength NLP library for Python with pretrained models and fast processing

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

A universal feed-forward metric 3D reconstruction library for computer vision and robotics applications.

An official implementation of CLIP4Clip, a model for end-to-end video clip retrieval.

A GPU-optimized version of the MuJoCo physics simulator designed for NVIDIA hardware.

A web UI for the Stable Diffusion AI text-to-image generation model, enabling developers to create and customize AI-powered image generation.

A LLM-powered platform that automatically converts documents into professional-looking PPT presentations.

Solutions and notes for the Machine Learning Specialization by Andrew NG on Coursera.

A curated list of state-of-the-art research in embodied AI, focusing on VLA, VLN, and related multimodal learning approaches.

A minimal TypeScript plugin that allows developers using the Claude AI assistant to receive phone calls.

Janus-Series: Unified Multimodal Understanding and Generation Models for AI-powered vibe coders.

A Java library that modifies the LSPosed framework, used for building AI coding tools.

A platform for developers to integrate ChatGPT with a custom knowledge base using the OP Stack (OpenAI + Pinecone Vector Database)