machine-learning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Repositories (1414)
Visualize and compare datasets, target values and associations, with one line of code.
A single Gradio + React WebUI with extensions for ACE-Step, OmniVoice, Kimi Audio, Piper TTS, GPT-SoVITS, CosyVoice, XTTSv2, DIA, Kokoro, OpenVoice, P...
Isolate vocals, drums, bass, and other instrumental stems from any song
Become a cracked AI/ML Research Engineer
A comprehensive collection of recent papers on graph deep learning
Awesome free machine learning and AI courses with video lectures.
Shōgun
HeavyDB (formerly MapD/OmniSciDB)
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
StellarGraph - Machine Learning on Graphs
Deep recommender models using PyTorch.
Open-source tools for prompt testing and experimentation, with support for both LLMs (e.g. OpenAI, LLaMA) and vector databases (e.g. Chroma, Weaviate,...
Sandbox for training deep learning networks
Toolkit for creating, sharing and using natural language prompts.
NMA Computational Neuroscience course
A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).
A well tested and comprehensive Golang statistics library package with no dependencies.
High-performance runtime for data analytics applications
🤖 Machine Learning Summer School Guide
Neural network visualization toolkit for keras
FFCV: Fast Forward Computer Vision (and other ML workloads!)
A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)
AI Roadmap:机器学习(Machine Learning)、深度学习(Deep Learning)、对抗神经网络(GAN），图神经网络（GNN），NLP，大数据相关的发展路书(roadmap), 并附海量源...
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zer...
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
The Python Code Tutorials
Curated list of the best truly open-source AI projects, models, tools, and infrastructure.
PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT
MITIE: library and tools for information extraction
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
List of articles related to deep learning applied to music
C++ DataFrame for statistical, financial, and ML analysis in modern C++
A Hyperparameter Tuning Library for Keras
Text preprocessing, representation and visualization from zero to hero.
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
AI based multi-label girl image classification system, implemented by using TensorFlow.
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
A portable accelerated SQL query, search, and LLM-inference engine, written in Rust, for data-grounded AI apps and agents.
Deep learning driven jazz generation using Keras & Theano!
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
A curated list of awesome anomaly detection resources
Quantitative analysis, strategies and backtests
It is open source ebook about TensorFlow kernel and implementation mechanism.
✨Fast Coreference Resolution in spaCy with Neural Networks
:sunglasses: A curated list of robotics libraries and software
📋 Survey papers summarizing advances in deep learning, NLP, CV, graphs, reinforcement learning, recommendations, graphs, etc.
This repository contains Deep Learning based articles , paper and repositories for Recommender Systems
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
Data manipulation and transformation for audio signal processing, powered by PyTorch