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 (1432)
:earth_americas: machine learning tutorials (mainly in Python3)
Evaluation and Tracking for LLM Experiments and AI Agents
A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada an...
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activi...
A Code-First Introduction to NLP course
StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image...
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Algorithmic Trading in Python with Machine Learning
Debugging, monitoring and visualization for Python Machine Learning and Data Science
An unnecessarily tiny implementation of GPT-2 in NumPy.
TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master...
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Fast and flexible AutoML with learning guarantees.
A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added fre...
:fire: Machine Learning Notebooks
All notes and materials for the CS229: Machine Learning course by Stanford University
🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruc...
Clean, Robust, and Unified PyTorch implementation of popular Deep Reinforcement Learning (DRL) algorithms (Q-learning, Duel DDQN, PER, C51, Noisy DQN,...
PennyLane is an open-source quantum software platform for quantum computing, quantum machine learning, and quantum chemistry. Create meaningful quantu...
.NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.
Learn how to design, develop, deploy and iterate on production-grade ML applications.
OP Vault ChatGPT: Give ChatGPT long-term memory using the OP Stack (OpenAI + Pinecone Vector Database). Upload your own custom knowledge base files (P...
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
Accelerated deep learning R&D
A library for audio and music analysis, feature extraction.
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
Book_7_《机器学习》 | 鸢尾花书：从加减乘除到机器学习；欢迎批评指正
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
List of AI Residency Programs
Drop-in Apache Spark replacement written in Rust, unifying batch processing, stream processing, and compute-intensive AI workloads.
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in...
Statistical and Algorithmic Investing Strategies for Everyone
JAX-based neural network library
ROADMAP(Mind Map) and KEYWORD for students those who have interest in learning NLP
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource...
A single Gradio + React WebUI with extensions for ACE-Step, OmniVoice, Kimi Audio, Piper TTS, GPT-SoVITS, CosyVoice, XTTSv2, DIA, Kokoro, OpenVoice, P...
Carefully curated resource links for data science in one place
Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)
Implementation of Dreambooth (https://arxiv.org/abs/2208.12242) by way of Textual Inversion (https://arxiv.org/abs/2208.01618) for Stable Diffusion (h...
📚 Jupyter notebook tutorials for OpenVINO™
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
A curated list of the latest breakthroughs in AI (in 2022) by release date with a clear video explanation, link to a more in-depth article, and code.
Training and serving large-scale neural networks with auto parallelization.
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
Siamese and triplet networks with online pair/triplet mining in PyTorch
List of tools & datasets for anomaly detection on time-series data.