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A no-code machine learning exploration tool that lets developers learn about ML without coding.
Lasagne is a lightweight library for building and training neural networks in Theano, a powerful Python library for machine learning.
An open-source video perception toolbox for object detection, tracking, and instance segmentation tasks.
An open-source client for the KoboldAI AI language model that enables vibe coders to build with AI tools.
A collection of 100 must-read NLP research papers for developers interested in natural language processing.
A Go-based Discord bot proxy that provides AI-powered features like ChatGPT, text-to-image, and knowledge retrieval.
TimeGPT-1 is a production-ready pre-trained time series foundation model for forecasting and anomaly detection.
Olivia is an open-source, AI-powered voice assistant that can be used to build conversational applications.
A Python library for self-supervised learning on images, with a focus on computer vision and AI-powered tooling.
A collection of articles on machine learning concepts and techniques by the author
Comprehensive reinforcement learning framework for building AI agents and distributed systems
This is a chatbot project focused on building agents with large language models (LLMs) and supporting local training of smaller LLMs.
A curated collection of papers and resources about transformer models for computer vision applications.
A Python library that implements Graph Attention Networks, a powerful neural network architecture for graph-structured data.
AdelaiDet is an open-source toolbox for instance-level detection and recognition tasks, including object detection and text recognition.
A code-first introduction to natural language processing (NLP) using Python and Jupyter Notebooks.
A unified framework for text-to-3D and image-to-3D generation powered by Tencent's Hunyuan3D technology.
A Python-based Telegram bot that integrates with OpenAI's ChatGPT APIs to provide answers.
NLPIR is an open-source library for natural language processing in various languages.
A high-performance deep learning architecture that improves upon the classic VGG model.
A Python library that enables editing of images using AI-powered tools like Segment Anything, ControlNet, and Stable Diffusion.
A denoising autoencoder with adversarial losses and attention mechanisms for face swapping.
An open-source platform for game research and reinforcement learning experimentation.
A Python package to easily retrain OpenAI's GPT-2 text-generation model on new texts.
LangChain is a framework for building applications with large language models (LLMs).
A platform for developers to integrate ChatGPT with a custom knowledge base using the OP Stack (OpenAI + Pinecone Vector Database)
A TypeScript-based chatbot document solution powered by GPT and embedding, useful for vibe coders.
A PyTorch implementation of the FCOS one-stage object detection model for computer vision tasks.
A Python-based service that allows developers to use large language models (LLMs) as a chatbot backend.
A compiler for neural network hardware accelerators, focusing on performance and efficiency.
A curated list of language modeling research for code and software engineering activities.
An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.
This repository provides a Chinese localization extension for the stable-diffusion-webui, an AI image generation tool.
A personal GitHub page for a computer vision and deep learning researcher.
A simplified interface for TensorFlow that mimics Scikit Learn for building deep learning models.
A collection of optimizers for PyTorch, including advanced algorithms for AI/ML model training.
Code for visualizing the loss landscape of neural networks, a powerful tool for AI and ML researchers.
Foundation Architecture for (M)LLMs, a powerful toolkit for building large language models.
A PHP-based platform that enables AI-powered conversation and image generation, with a focus on simplicity and ease of use.
A PyTorch tutorial for object detection using the Single Shot MultiBox Detector (SSD) algorithm.
Eureka is a research repository for developing human-level reward design for large language models.
A collection of books, papers, and documents for developers working with AI tools and technologies.
An unofficial PyTorch implementation of the audio LM VALL-E, a text-to-speech AI model.
Convert code repos into an LLM prompt-friendly format, mostly built by GPT-4.
C++ implementation of large language models ChatGLM-6B, ChatGLM2-6B, ChatGLM3 and GLM4(V) for natural language processing.
Pytorch implementations of various Deep NLP models used in the Stanford NLP course cs-224n
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.
A no-code platform for building custom LLM Agents with semantic search, chatbots, and more.
A Python library for using CLIP and BLIP models to generate image prompts.
Example TensorFlow codes and a TensorFlow as a Service dev environment for AI/ML developers.
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