Ecosyste.ms: Awesome

An open API service indexing awesome lists of open source software.

Awesome Lists | Featured Topics | Projects

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.

https://github.com/alexlenail/NN-SVG

Publication-ready NN-architecture schematics.

d3 deep-learning diagrams drawing machine-learning neural-network svg threejs

Last synced: 31 Jul 2024

https://github.com/BinRoot/TensorFlow-Book

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

autoencoder book classification clustering convolutional-neural-networks linear-regression logistic-regression machine-learning regression reinforcement-learning tensorflow

Last synced: 31 Jul 2024

https://github.com/accord-net/framework

Machine learning, computer vision, statistics and general scientific computing for .NET

c-sharp computer-vision ffmpeg framework image-processing machine-learning neural-network nuget statistics support-vector-machines unity3d visual-studio

Last synced: 31 Jul 2024

https://github.com/BoltzmannEntropy/interviews.ai

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

artificial-intelligence autograd bayesian-statistics convolutional-neural-networks data-science deep-learning ensemble-learning feature-extraction graduate-school information-theory interview-preparation jax jobs logistic-regression loss-functions machine-learning python pytorch pytorch-tutorial

Last synced: 31 Jul 2024

https://github.com/rasbt/python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

deep-learning machine-learning scikit-learn tensorflow

Last synced: 31 Jul 2024

https://github.com/FluxML/Flux.jl

Relax! Flux is the ML library that doesn't make you tensor

data-science deep-learning flux machine-learning neural-networks the-human-brain

Last synced: 31 Jul 2024

https://github.com/carperai/trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

machine-learning pytorch reinforcement-learning

Last synced: 01 Aug 2024

https://github.com/janhuenermann/neurojs

A JavaScript deep learning and reinforcement learning library.

deep-learning javascript machine-learning neural-network reinforcement-learning self-driving-car

Last synced: 31 Jul 2024

https://github.com/CarperAI/trlx

A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

machine-learning pytorch reinforcement-learning

Last synced: 30 Jul 2024

https://github.com/dotnet/machinelearning-samples

Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.

algorithms csharp dotnet machine-learning ml

Last synced: 01 Aug 2024

https://github.com/nateraw/stable-diffusion-videos

Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts

ai-art huggingface huggingface-diffusers machine-learning stable-diffusion

Last synced: 31 Jul 2024

https://github.com/esimov/pigo

Fast face detection, pupil/eyes localization and facial landmark points detection library in pure Go.

computer-vision eye-detection face-detection facial-landmarks golang machine-learning opencv pixel-intensity-comparison pupil-detection wasm webassembly

Last synced: 30 Jul 2024

https://github.com/SeldonIO/seldon-core

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models

aiops deployment kubernetes machine-learning machine-learning-operations mlops production-machine-learning serving

Last synced: 31 Jul 2024

https://github.com/apple/coremltools

Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.

coreml coremltools machine-learning model-conversion model-converter pytorch tensorflow

Last synced: 31 Jul 2024

https://github.com/trigaten/learn_prompting

Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community

chatgpt chatgpt-api deep-learning gpt-3 gpt-4 gpt-4-api gpt3 large-language-models llm machine-learning nlp openai-api prompt-engineering prompt-toolkit prompt-tuning prompting transformers

Last synced: 02 Aug 2024

https://github.com/JWarmenhoven/ISLR-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code

islr islr-python machine-learning predictive-modeling statistical-learning

Last synced: 30 Jul 2024

https://github.com/alirezadir/Production-Level-Deep-Learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

ai artificial-intelligence deep-learning deployment kubeflow machine-learning pipeline practical-machine-learning production-system scalable-applications system-design tfx

Last synced: 01 Aug 2024

https://github.com/IDSIA/sacred

Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.

infrastructure machine-learning mongodb python reproducibility reproducible-research reproducible-science

Last synced: 01 Aug 2024

https://github.com/DistrictDataLabs/yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

anaconda estimator machine-learning matplotlib model-selection python scikit-learn visual-analysis visualization visualizer

Last synced: 30 Jul 2024

https://github.com/districtdatalabs/yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

anaconda estimator machine-learning matplotlib model-selection python scikit-learn visual-analysis visualization visualizer

Last synced: 02 Aug 2024

https://github.com/vicky002/AlgoWiki

Repository which contains links and resources on different topics of Computer Science.

algorithm artificial-intelligence competitive-programming computer-science html knowledge linux machine-learning

Last synced: 30 Jul 2024

https://github.com/trigaten/Learn_Prompting

Prompt Engineering, Generative AI, and LLM Guide by Learn Prompting | Join our discord for the largest Prompt Engineering learning community

chatgpt chatgpt-api deep-learning gpt-3 gpt-4 gpt-4-api gpt3 large-language-models llm machine-learning nlp openai-api prompt-engineering prompt-toolkit prompt-tuning prompting transformers

Last synced: 31 Jul 2024

https://github.com/dair-ai/Mathematics-for-ML

🧮 A collection of resources to learn mathematics for machine learning

ai deep-learning machine-learning mathematics ml

Last synced: 31 Jul 2024

https://github.com/tensorflow/datasets

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...

data dataset datasets jax machine-learning numpy tensorflow

Last synced: 30 Jul 2024

https://github.com/thoughtfuldev/eagleeye

Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.

face-recognition machine-learning python3 social-media stalking

Last synced: 01 Aug 2024

https://github.com/andri27-ts/Reinforcement-Learning

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

a2c artificial-intelligence deep-learning deep-reinforcement-learning deepmind dqn evolution-strategies machine-learning policy-gradients ppo qlearning reinforcement-learning

Last synced: 31 Jul 2024

https://github.com/louisfb01/start-machine-learning

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

artificial-intelligence cheat-sheets course coursera coursera-machine-learning data-science deep-learning learn-to-code learning learning-python linear-algebra machine-learning neural-networks practice probability-statistics read-articles tutorial tutorials youtube youtube-playlist

Last synced: 31 Jul 2024

https://github.com/NVIDIA/DIGITS

Deep Learning GPU Training System

caffe deep-learning gpu machine-learning torch

Last synced: 30 Jul 2024

https://github.com/hill-a/stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

baselines data-science gym machine-learning openai python reinforcement-learning reinforcement-learning-algorithms toolbox

Last synced: 31 Jul 2024

https://github.com/rasbt/pattern_classification

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

machine-learning machine-learning-algorithms pattern-classification

Last synced: 31 Jul 2024

https://github.com/pytorch/serve

Serve, optimize and scale PyTorch models in production

cpu deep-learning docker gpu kubernetes machine-learning metrics mlops optimization pytorch serving

Last synced: 01 Aug 2024

https://github.com/LaurentMazare/tch-rs

Rust bindings for the C++ api of PyTorch.

deep-learning machine-learning neural-network pytorch rust

Last synced: 31 Jul 2024

https://github.com/FedML-AI/FedML

FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, FEDML Nexus AI (https://fedml.ai) is your generative AI platform at scale.

ai-agent deep-learning distributed-training edge-ai federated-learning inference-engine machine-learning mlops model-deployment model-serving on-device-training

Last synced: 01 Aug 2024

https://github.com/ThoughtfulDev/EagleEye

Stalk your Friends. Find their Instagram, FB and Twitter Profiles using Image Recognition and Reverse Image Search.

face-recognition machine-learning python3 social-media stalking

Last synced: 31 Jul 2024

https://github.com/thunlp/PromptPapers

Must-read papers on prompt-based tuning for pre-trained language models.

ai bert machine-learning nlp pre-trained-language-models prompt prompt-based prompt-learning prompt-toolkit

Last synced: 01 Aug 2024

https://github.com/xviniette/FlappyLearning

Program learning to play Flappy Bird by machine learning (Neuroevolution)

flappybird machine-learning neuroevolution

Last synced: 01 Aug 2024

https://github.com/volcano-sh/volcano

A Cloud Native Batch System (Project under CNCF)

batch-systems bigdata gene golang hpc kubernetes machine-learning

Last synced: 31 Jul 2024

https://github.com/Azure/MachineLearningNotebooks

Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft

azure azure-machine-learning azure-ml azureml data-science deep-learning machine-learning notebook

Last synced: 31 Jul 2024

https://github.com/openvenues/libpostal

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

address address-parser c deduping deduplication international machine-learning natural-language-processing nlp record-linkage

Last synced: 30 Jul 2024

https://github.com/faridrashidi/kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

awesome competition data-mining data-science kaggle machine-learning solutions

Last synced: 31 Jul 2024

https://github.com/xorbitsai/inference

Replace OpenAI GPT with another LLM in your app by changing a single line of code. Xinference gives you the freedom to use any LLM you need. With Xinference, you're empowered to run inference with any open-source language models, speech recognition models, and multimodal models, whether in the cloud, on-premises, or even on your laptop.

artificial-intelligence chatglm deployment flan-t5 gemma ggml glm4 inference llama llama3 llamacpp llm machine-learning mistral openai-api pytorch qwen vllm whisper wizardlm

Last synced: 31 Jul 2024

https://github.com/marimo-team/marimo

A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.

artificial-intelligence data-science data-visualization developer-tools machine-learning notebooks pipeline python reactive web-app

Last synced: 31 Jul 2024

https://github.com/rapidsai/cuml

cuML - RAPIDS Machine Learning Library

cuda gpu machine-learning machine-learning-algorithms nvidia

Last synced: 31 Jul 2024

https://github.com/arXivTimes/arXivTimes

repository to research & share the machine learning articles

arxivtimes computer-vision machine-learning natural-language-processing reinforcement-learning

Last synced: 01 Aug 2024

https://github.com/yahoo/TensorFlowOnSpark

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

cluster featured machine-learning python scala spark tensorflow yahoo

Last synced: 31 Jul 2024

https://github.com/googlecreativelab/teachable-machine-v1

Explore how machine learning works, live in the browser. No coding required.

machine-learning teachable-machine

Last synced: 30 Jul 2024

https://github.com/ravenscroftj/turbopilot

Turbopilot is an open source large-language-model based code completion engine that runs locally on CPU

code-completion cpp language-model machine-learning

Last synced: 30 Jul 2024

https://github.com/hudson-and-thames/mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

algorithmic-trading finance financial-machine-learning investing machine-learning portfolio-management portfolio-optimization python quantitative-finance research trading

Last synced: 31 Jul 2024

https://github.com/apachecn/hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题,网站已下线!!】

book deep-learning machine-learning python sklearn tensorflow

Last synced: 01 Aug 2024

https://github.com/openmlsys/openmlsys-zh

《Machine Learning Systems: Design and Implementation》- Chinese Version

computer-systems machine-learning software-architecture textbook

Last synced: 31 Jul 2024

https://github.com/TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

artificial-intelligence aws capsule-network convolutional-neural-networks deep-learning ipython-notebook kaggle keras lua machine-learning matplotlib neural-network pandas python python-data pytorch scikit-learn tensorflow tensorflow-tutorials torch

Last synced: 01 Aug 2024

https://github.com/lucidrains/stylegan2-pytorch

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

artificial-intelligence generative-adversarial-network generative-model machine-learning pytorch

Last synced: 01 Aug 2024

https://github.com/justmarkham/scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

data-science jupyter-notebook machine-learning python scikit-learn tutorial

Last synced: 01 Aug 2024

https://github.com/bytedance/byteps

A high performance and generic framework for distributed DNN training

deep-learning distributed-training keras machine-learning mxnet pytorch tensorflow

Last synced: 01 Aug 2024

https://github.com/microsoft/EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

causal-inference causality econometrics economics machine-learning treatment-effects

Last synced: 31 Jul 2024

https://github.com/py-why/EconML

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

causal-inference causality econometrics economics machine-learning treatment-effects

Last synced: 31 Jul 2024

https://github.com/deepmind/dm_control

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

artificial-intelligence deep-learning machine-learning mujoco neural-networks physics-simulation reinforcement-learning

Last synced: 01 Aug 2024

https://github.com/google-deepmind/dm_control

Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

artificial-intelligence deep-learning machine-learning mujoco neural-networks physics-simulation reinforcement-learning

Last synced: 01 Aug 2024

https://github.com/luodian/otter

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

artificial-inteligence chatgpt deep-learning embodied-ai foundation-models gpt-4 instruction-tuning large-scale-models machine-learning multi-modality visual-language-learning

Last synced: 02 Aug 2024

https://github.com/rust-ml/linfa

A Rust machine learning framework.

algorithms machine-learning rust scientific-computing

Last synced: 31 Jul 2024

https://github.com/Luodian/Otter

🦦 Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

artificial-inteligence chatgpt deep-learning embodied-ai foundation-models gpt-4 instruction-tuning large-scale-models machine-learning multi-modality visual-language-learning

Last synced: 29 Jul 2024

https://github.com/alibaba/Alink

Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.

apriori classification clustering data-mining feature-engineering flink flink-machine-learning flink-ml fm graph-algorithms graph-embedding kafka machine-learning recommender recommender-system regression statistics word2vec xgboost

Last synced: 30 Jul 2024

https://github.com/benfred/implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

collaborative-filtering machine-learning matrix-factorization recommendation recommendation-system recommender-system

Last synced: 31 Jul 2024