Statistics for topic machine-learning
RepositoryStats tracks 520,406 Github repositories, of these 7,221 are tagged with the machine-learning topic. The most common primary language for repositories using this topic is Python (3,285). Other languages include: Jupyter Notebook (1,487), C++ (286), JavaScript (211), HTML (128), TypeScript (117), Java (110), Go (83), Rust (81), Julia (80)
Stargazers over time for topic machine-learning
Most starred repositories for topic machine-learning (view more)
Trending repositories for topic machine-learning (view more)
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Fast and customizable framework for automatic ML model creation (AutoML)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Fast and customizable framework for automatic ML model creation (AutoML)
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
MLOps - Deploy models at scale, Generative AI - Build applications with LLMs, NLP - Understand Transformers & Text Generation Models, Computer Vision - Build GANs projects like Deepfakes, ML System De...
Official repository for discrete Walk-Jump Sampling (dWJS)
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
RAG (Retrieval Augmented Generation) Framework for building modular, open source applications for production by TrueFoundry
UniCollab is more than just a platform; it's a gateway to a world where students from different universities/colleges converge to collaborate, innovate, and elevate their projects. Imagine a space whe...
Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)
1.5−3.0× lossless training or pre-training speedup. An off-the-shelf, easy-to-implement algorithm for the efficient training of foundation visual backbones.
ThereForYou: Your mental health ally. Kai, our AI assistant, offers compassionate support. Track your mood trends, find solace in a secure community, and access crisis resources swiftly. We're here to...
Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)
Binary Trading AI Bot is a project idea aimed at developing an AI-powered bot for binary trading. The bot utilizes machine learning algorithms to predict the direction of the next candle (whether it w...
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Perplexica is an AI-powered search engine. It is an Open source alternative to Perplexity AI
Official implementation of "Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting" (https://arxiv.org/abs/2405.06419)
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a...
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gan...
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
A comprehensive guide to building RAG-based LLM applications for production.
AIGC-interview/CV-interview/LLMs-interview面试问题与答案集合仓,同时包含工作和科研过程中的新想法、新问题、新资源与新项目
Images to inference with no labeling (use foundation models to train supervised models).