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.
- GitHub: https://github.com/topics/machine-learning
- Wikipedia: https://en.wikipedia.org/wiki/Machine_learning
- Aliases: machine-learning-algorithms, machine-learning-library, machine-learning-application, machine-learning-models, machinelearning, ml,
- Last updated: 2026-06-20 00:18:24 UTC
- JSON Representation
https://github.com/capitalone/dataprofiler
What's in your data? Extract schema, statistics and entities from datasets
avro csv data-analysis data-labels data-science dataprofiling dataset gdpr graph-data machine-learning network-data nlp npi pandas pii privacy python security sensitive-data tabular-data
Last synced: 14 May 2025
https://github.com/sepandhaghighi/pycm
Multi-class confusion matrix library in Python
accuracy ai artificial-intelligence classification confusion-matrix data data-analysis data-mining data-science deep-learning deeplearning evaluation machine-learning mathematics matrix ml multiclass-classification neural-network statistical-analysis statistics
Last synced: 13 May 2025
https://github.com/nvidia/physicsnemo
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
deep-learning machine-learning nvidia-gpu physics pytorch
Last synced: 08 Oct 2025
https://github.com/SeldonIO/seldon-server
Machine Learning Platform and Recommendation Engine built on Kubernetes
aws azure cloud deep-learning deployment docker gcp java kafka kafka-streams kubernetes machine-learning microservices prediction python recommendation-engine recommender-system seldon spark tensorflow
Last synced: 09 May 2025
https://github.com/seldonio/seldon-server
Machine Learning Platform and Recommendation Engine built on Kubernetes
aws azure cloud deep-learning deployment docker gcp java kafka kafka-streams kubernetes machine-learning microservices prediction python recommendation-engine recommender-system seldon spark tensorflow
Last synced: 14 Apr 2025
https://github.com/modelfoxdotdev/modelfox
ModelFox makes it easy to train, deploy, and monitor machine learning models.
automl developer-tools elixir elixir-lang go golang javascript js machine-learning mlops python python3 ruby ruby-on-rails rust rust-crate rust-lang rust-library rustlang
Last synced: 11 Apr 2025
https://github.com/capitalone/DataProfiler
What's in your data? Extract schema, statistics and entities from datasets
avro csv data-analysis data-labels data-science dataprofiling dataset gdpr graph-data machine-learning network-data nlp npi pandas pii privacy python security sensitive-data tabular-data
Last synced: 02 Apr 2025
https://github.com/swanhubx/swanlab
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / LLaMA Factory / Swift / Ultralytics / veRL / MMEngine / Keras etc.
data-science deep-learning jax logging machine-learning mlops model-versioning python pytorch tensorboard tensorflow tracking transformers visualization
Last synced: 13 May 2025
https://github.com/microsoft/semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
audio-classification classification computer-vision deep-learning low-resource machine-learning natural-language-processing pytorch semi-supervised-learning semisupervised-learning transformer
Last synced: 14 May 2025
https://github.com/fastmachinelearning/hls4ml
Machine learning on FPGAs using HLS
fpga hls intel-hls keras machine-learning neural-network onnx python pytorch vivado vivado-hls
Last synced: 12 Dec 2025
https://github.com/ScottfreeLLC/AlphaPy
Python AutoML for Trading Systems and Sports Betting
backtesting classification cryptocurrency data-science deep-learning iex keras machine-learning pandas portfolio predictive-analytics python regression scikit-learn sports stocks time-series-analysis trading trading-platform trading-strategies
Last synced: 05 May 2025
https://github.com/skfolio/skfolio
Python library for portfolio optimization built on top of scikit-learn
asset-allocation asset-management convex-optimization cvar-optimization cvxpy efficient-frontier hierarchical-clustering machine-learning portfolio portfolio-optimization quantitative-finance quantitative-investment risk-parity scikit-learn trading-strategies
Last synced: 15 Mar 2026
https://github.com/HuwCampbell/grenade
Deep Learning in Haskell
convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-networks haskell machine-learning
Last synced: 15 Mar 2025
https://github.com/huwcampbell/grenade
Deep Learning in Haskell
convolutional-neural-networks deep-learning deep-neural-networks generative-adversarial-networks haskell machine-learning
Last synced: 08 Apr 2025
https://github.com/amitkaps/hackermath
Introduction to Statistics and Basics of Mathematics for Data Science - The Hacker's Way
calculus linear-algebra machine-learning python statistics
Last synced: 16 May 2025
https://github.com/csinva/imodels
Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).
ai artificial-intelligence bayesian-rule-list data-science explainable-ai explainable-ml imodels interpretability machine-learning ml optimal-classification-tree python rule-learning rulefit rules scikit-learn statistics supervised-learning
Last synced: 13 May 2025
https://github.com/mlreef/mlreef
The collaboration workspace for Machine Learning
artificial-intelligence data-science deep-learning deeplearning machine-learning machine-learning-algorithms mlops mlops-environment models mxnet pytorch reproducibility tensorflow
Last synced: 15 May 2025
https://github.com/Tiiiger/bert_score
BERT score for text generation
machine-learning natural-language-processing
Last synced: 02 Apr 2025
https://github.com/tiiiger/bert_score
BERT score for text generation
machine-learning natural-language-processing
Last synced: 14 May 2025
https://github.com/igrigorik/decisiontree
ID3-based implementation of the ML Decision Tree algorithm
decision-tree machine-learning ruby rubyml
Last synced: 14 May 2025
https://github.com/JustGlowing/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
clustering dimensionality-reduction kohonen machine-learning manifold-learning neural-networks outlier-detection self-organizing-map som unsupervised-learning vector-quantization
Last synced: 01 May 2025
https://github.com/MLReef/mlreef
The collaboration workspace for Machine Learning
artificial-intelligence data-science deep-learning deeplearning machine-learning machine-learning-algorithms mlops mlops-environment models mxnet pytorch reproducibility tensorflow
Last synced: 15 Mar 2025
https://github.com/bRAGAI/bRAG-langchain
Everything you need to know to build your own RAG application
agentic-rag ai chatbot llm machine-learning python rag
Last synced: 14 Jan 2026
https://github.com/code-kern-ai/refinery
The data scientist's open-source choice to scale, assess and maintain natural language data. Treat training data like a software artifact.
active-learning annotations artificial-intelligence data-centric-ai data-labeling data-science deep-learning human-in-the-loop labeling labeling-tool machine-learning natural-language-processing neural-search nlp python spacy supervised-learning text-annotation text-classification transformers
Last synced: 14 May 2025
https://github.com/amitshekhariitbhu/androidtensorflowmachinelearningexample
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
deep-learning deep-learning-tutorial deep-neural-networks deeplearning machine-learning machine-learning-android tensorflow tensorflow-android tensorflow-examples tensorflow-models tensorflow-tutorials
Last synced: 15 May 2025
https://github.com/microsoft/Semi-supervised-learning
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
audio-classification classification computer-vision deep-learning low-resource machine-learning natural-language-processing pytorch semi-supervised-learning semisupervised-learning transformer
Last synced: 26 Mar 2025
https://github.com/dltk/dltk
Deep Learning Toolkit for Medical Image Analysis
cnn data-science deep-learning deep-neural-networks dltk dltk-model-zoo machine-learning medical medical-image-processing medical-imaging ml neural-network neural-networks neuroimaging python tensorflow
Last synced: 08 Apr 2025
https://github.com/DLTK/DLTK
Deep Learning Toolkit for Medical Image Analysis
cnn data-science deep-learning deep-neural-networks dltk dltk-model-zoo machine-learning medical medical-image-processing medical-imaging ml neural-network neural-networks neuroimaging python tensorflow
Last synced: 23 Apr 2025
https://github.com/amitshekhariitbhu/AndroidTensorFlowMachineLearningExample
Android TensorFlow MachineLearning Example (Building TensorFlow for Android)
deep-learning deep-learning-tutorial deep-neural-networks deeplearning machine-learning machine-learning-android tensorflow tensorflow-android tensorflow-examples tensorflow-models tensorflow-tutorials
Last synced: 13 Apr 2025
https://github.com/spotify/voyager
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
hnsw hnswlib java machine-learning nearest-neighbor-search python
Last synced: 13 May 2025
https://github.com/geostatsguy/pythonnumericaldemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
datanalytics geostatistics machine-learning python
Last synced: 14 May 2025
https://github.com/mit-han-lab/torchquantum
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.
deep-learning machine-learning ml-for-systems neural-network parameterized-quantum-circuit pytorch pytorch-quantum quantum quantum-computing quantum-machine-learning quantum-neural-network quantum-simulation system
Last synced: 13 May 2025
https://github.com/denizyuret/knet.jl
Koç University deep learning framework.
data-science deep-learning julia knet machine-learning neural-networks
Last synced: 14 May 2025
https://github.com/patrick-kidger/diffrax?ref=zzun.app
Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/
deep-learning differential-equations dynamical-systems equinox jax machine-learning neural-differential-equations neural-networks
Last synced: 04 May 2025
https://github.com/denizyuret/Knet.jl
Koç University deep learning framework.
data-science deep-learning julia knet machine-learning neural-networks
Last synced: 04 May 2025
https://github.com/demidovakatya/vvedenie-mashinnoe-obuchenie
:memo: Подборка ресурсов по машинному обучению
collections data-mining data-science deep-learning machine-learning mooc neural-networks nlp russian university
Last synced: 26 Jan 2026
https://github.com/RQLuo/MixTeX-Latex-OCR
MixTeX multimodal LaTeX, ZhEn, and, Table OCR. It performs efficient CPU-based inference in a local offline on Windows.
computer-vision deep-learning latex machine-learning ocr onnx python
Last synced: 30 Aug 2025
https://github.com/google-deepmind/jraph
A Graph Neural Network Library in Jax
deep-learning graph-neural-networks jax machine-learning
Last synced: 15 May 2025
https://github.com/scisharp/numsharp
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
machine-learning numpy numsharp pandas
Last synced: 15 May 2025
https://github.com/RWKV/rwkv.cpp
INT4/INT5/INT8 and FP16 inference on CPU for RWKV language model
deep-learning ggml language-model llm machine-learning quantization rwkv
Last synced: 15 Apr 2025
https://github.com/scorpionhiccup/stockpriceprediction
Stock Price Prediction using Machine Learning Techniques
analysis concept-video forecasting lstm lstm-neural-networks machine-learning rnn stock-price-forecasting supervised-learning video
Last synced: 16 May 2025
https://github.com/SciSharp/NumSharp
High Performance Computation for N-D Tensors in .NET, similar API to NumPy.
machine-learning numpy numsharp pandas
Last synced: 02 Apr 2025
https://github.com/tensorflow/gnn
TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.
deep-learning gnn machine-learning tensorflow
Last synced: 13 May 2025
https://github.com/wethinkin/interview-for-algorithm-engineer
【三年面试五年模拟】AI算法工程师面试秘籍。涵盖AIGC、传统深度学习、自动驾驶、机器学习、计算机视觉、自然语言处理、强化学习、具身智能、元宇宙、AGI等AI行业面试笔试经验与干货知识。
aigc deep-learning interview-preparation interview-questions interviews large-language-models machine-learning midjourney sora stable-diffusion transformers
Last synced: 10 Apr 2025
https://github.com/hollance/coremlhelpers
Types and functions that make it a little easier to work with Core ML in Swift.
core-ml coreml ios machine-learning swift
Last synced: 16 May 2025
https://github.com/nod-ai/AMD-SHARK-Studio
SHARK Studio -- Web UI for SHARK+IREE High Performance Machine Learning Distribution
amd apple-silicon deep-learning machine-learning mlir nvidia pytorch
Last synced: 09 Jan 2026
https://github.com/aphrodite-engine/aphrodite-engine
Large-scale LLM inference engine
api-rest cuda inference-engine inferentia intel lora machine-learning rocm speculative-decoding tpu
Last synced: 14 May 2025
https://github.com/torchgan/torchgan
Research Framework for easy and efficient training of GANs based on Pytorch
computer-vision deep-learning gans generative-adversarial-networks generative-model machine-learning neural-networks python python3 pytorch
Last synced: 15 May 2025
https://github.com/pygod-team/pygod
A Python Library for Graph Outlier Detection (Anomaly Detection)
anomaly-detection deeplearning fraud-detection graph-anomaly-detection graph-neural-networks graphmining machine-learning opensource outlier-detection python pytorch security-tools toolkit
Last synced: 08 Oct 2025
https://github.com/fendouai/opencvtutorials
OpenCV-Python4.1 中文文档
computer-vision deep-learning machine-learning object-detection opencv opencv-python python
Last synced: 07 Oct 2025
https://github.com/alibaba/federatedscope
An easy-to-use federated learning platform
federated-learning machine-learning pytorch
Last synced: 15 May 2025
https://github.com/hollance/CoreMLHelpers
Types and functions that make it a little easier to work with Core ML in Swift.
core-ml coreml ios machine-learning swift
Last synced: 25 Mar 2025
https://github.com/GeostatsGuy/PythonNumericalDemos
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
datanalytics geostatistics machine-learning python
Last synced: 01 May 2025
https://github.com/NVIDIA/modulus
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
deep-learning machine-learning nvidia-gpu physics pytorch
Last synced: 28 Apr 2025
https://github.com/alibaba/FederatedScope
An easy-to-use federated learning platform
federated-learning machine-learning pytorch
Last synced: 09 May 2025
https://github.com/elicit/machine-learning-list
A curriculum for learning about foundation models, from scratch to the frontier
artificial-intelligence language-model machine-learning transformers
Last synced: 23 Jan 2026
https://github.com/scikit-learn-contrib/metric-learn
Metric learning algorithms in Python
machine-learning metric-learning python scikit-learn
Last synced: 14 May 2025
https://github.com/yangyanli/pointcnn
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
autonomous-driving classification convolutional-neural-networks deep-neural-networks machine-learning point-cloud pointcloud robotics scannet segmentation shapenet
Last synced: 08 Apr 2025
https://github.com/interpretml/dice
Generate Diverse Counterfactual Explanations for any machine learning model.
counterfactual-explanations deep-learning explainable-ai explainable-ml interpretable-machine-learning machine-learning xai
Last synced: 13 May 2025
https://github.com/yangyanli/PointCNN
PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)
autonomous-driving classification convolutional-neural-networks deep-neural-networks machine-learning point-cloud pointcloud robotics scannet segmentation shapenet
Last synced: 20 Mar 2025
https://github.com/fedden/poker_ai
🤖 An Open Source Texas Hold'em AI
artificial-intelligence counterfactual-regret-minimization machine-learning open-source pluribus poker-engine python texas-holdem-poker
Last synced: 29 Sep 2025
https://github.com/neuml/paperai
📄 🤖 Semantic search and workflows for medical/scientific papers
ai artificial-intelligence document-search machine-learning medical nlp python scientific-papers search txtai
Last synced: 31 Oct 2025
https://github.com/advboxes/advbox
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
adversarial-attacks adversarial-example adversarial-examples deep-learning deepfool fgsm graphpipe machine-learning onnx paddlepaddle security
Last synced: 08 Apr 2025
https://github.com/advboxes/AdvBox
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models. Advbox give a command line tool to generate adversarial examples with Zero-Coding.
adversarial-attacks adversarial-example adversarial-examples deep-learning deepfool fgsm graphpipe machine-learning onnx paddlepaddle security
Last synced: 15 Mar 2025
https://github.com/DragonComputer/Dragonfire
the open-source virtual assistant for Ubuntu based Linux distributions
artificial-intelligence chatbot kaldi linux machine-learning nlp personal-assistant spacy speech-recognition speech-to-text text-to-speech ubuntu virtual-assistant
Last synced: 12 Apr 2025
https://github.com/dragoncomputer/dragonfire
the open-source virtual assistant for Ubuntu based Linux distributions
artificial-intelligence chatbot kaldi linux machine-learning nlp personal-assistant spacy speech-recognition speech-to-text text-to-speech ubuntu virtual-assistant
Last synced: 01 Apr 2025
https://github.com/googlecloudplatform/data-science-on-gcp
Source code accompanying book: Data Science on the Google Cloud Platform, Valliappa Lakshmanan, O'Reilly 2017
cloud-computing data-analysis data-engineering data-pipeline data-processing data-science data-visualization machine-learning
Last synced: 14 Apr 2025
https://github.com/explosion/spacy-transformers
🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy
bert google gpt-2 huggingface language-model machine-learning natural-language-processing natural-language-understanding nlp openai pytorch pytorch-model spacy spacy-extension spacy-pipeline transfer-learning xlnet
Last synced: 25 Apr 2025
https://github.com/kyleskom/nba-machine-learning-sports-betting
NBA sports betting using machine learning
ai data-science deep-learning gambling gpt keras llm machine-learning nba nba-analytics nba-prediction neural-network python sports sports-analytics sports-betting sports-data tensorflow
Last synced: 14 May 2025
https://github.com/bgavran/category_theory_machine_learning
List of papers studying machine learning through the lens of category theory
category-theory lenses machine-learning neural-networks
Last synced: 14 May 2025
https://github.com/skrub-data/skrub
Machine learning with dataframes
data data-analysis data-cleaning data-preparation data-preprocessing data-science data-wrangling dataframe dataframes dirty-data machine-learning
Last synced: 06 Jan 2026
https://github.com/TorchCraft/TorchCraft
Connecting Torch to StarCraft
bwapi deep-learning machine-learning reinforcement-learning starcraft torch torchcraft
Last synced: 15 Mar 2025
https://github.com/BilalReffas/EmojiIntelligence
Neural Network built in Apple Playground using Swift
ai apple artificial-intelligence ipad machine-learning macos network neural playground swift
Last synced: 13 May 2025
https://github.com/logpai/loglizer
A machine learning toolkit for log-based anomaly detection [ISSRE'16]
aiops anomaly-detection failure-diagnosis log-analysis machine-learning
Last synced: 20 Feb 2026
https://github.com/andreibondarev/langchainrb
Build LLM-powered applications in Ruby
agents ai-agents artificial-intelligence machine-learning ml rubyml vector-search
Last synced: 16 Mar 2025
https://github.com/kyleskom/NBA-Machine-Learning-Sports-Betting
NBA sports betting using machine learning
ai data-science deep-learning gambling gpt keras llm machine-learning nba nba-analytics nba-prediction neural-network python sports sports-analytics sports-betting sports-data tensorflow
Last synced: 27 Mar 2025
https://github.com/ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
black-box dalex data-science explainable-ai explainable-artificial-intelligence explainable-ml explanations explanatory-model-analysis fairness iml interpretability interpretable-machine-learning machine-learning model-visualization predictive-modeling responsible-ai responsible-ml xai
Last synced: 14 Mar 2025
https://github.com/mlcommons/inference
Reference implementations of MLPerf™ inference benchmarks
Last synced: 14 May 2025
https://github.com/modeloriented/dalex
moDel Agnostic Language for Exploration and eXplanation
black-box dalex data-science explainable-ai explainable-artificial-intelligence explainable-ml explanations explanatory-model-analysis fairness iml interpretability interpretable-machine-learning machine-learning model-visualization predictive-modeling responsible-ai responsible-ml xai
Last synced: 14 May 2025
https://modeloriented.github.io/DALEX/
moDel Agnostic Language for Exploration and eXplanation
black-box dalex data-science explainable-ai explainable-artificial-intelligence explainable-ml explanations explanatory-model-analysis fairness iml interpretability interpretable-machine-learning machine-learning model-visualization predictive-modeling responsible-ai responsible-ml xai
Last synced: 10 Jul 2025
https://github.com/jrieke/traingenerator
🧙 A web app to generate template code for machine learning
deep-learning machine-learning machine-learning-tutorials pytorch pytorch-ignite pytorch-lightning scikit-learn sklearn streamlit template tensorflow webapp website
Last synced: 16 May 2025
https://github.com/deepmind/jraph
A Graph Neural Network Library in Jax
deep-learning graph-neural-networks jax machine-learning
Last synced: 31 Mar 2025
https://github.com/bilalreffas/emojiintelligence
Neural Network built in Apple Playground using Swift
ai apple artificial-intelligence ipad machine-learning macos network neural playground swift
Last synced: 12 Apr 2025
https://koaning.github.io/scikit-lego/
Extra blocks for scikit-learn pipelines.
common-sense machine-learning scikit-learn
Last synced: 09 Dec 2025
https://github.com/enzymead/enzyme
High-performance automatic differentiation of LLVM and MLIR.
ad automatic-differentiation c clang compiler cpp deep-learning derivative differentiable-programming enzyme gradient high-performance llvm llvm-enzyme machine-learning pytorch rust scientific-computing simulation tensorflow
Last synced: 02 Apr 2026
https://github.com/bgavran/Category_Theory_Machine_Learning
List of papers studying machine learning through the lens of category theory
category-theory lenses machine-learning neural-networks
Last synced: 01 May 2025
https://github.com/quixio/quix-streams
Python Streaming DataFrames for Kafka
data-engineering data-intensive-applications data-science event-driven-architecture kafka machine-learning python real-time-data-processing stream-processing stream-processor streaming-data streaming-data-pipelines streaming-data-processing time-series-data
Last synced: 13 May 2025
https://github.com/microsoft/vscode-jupyter
VS Code Jupyter extension
datascience jupyter machine-learning vscode vscode-extension
Last synced: 13 May 2025
https://github.com/lastancientone/deep_learning_machine_learning_stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
algorithms data-science deep-learning feature-engineering feature-extraction feature-selection features-extraction financial-engineering machine-learning neural-network prediction stock-analysis stock-data stock-market stock-prediction stock-price-prediction stock-prices stock-trading technical-analysis trading
Last synced: 16 May 2025
https://github.com/mratsim/arraymancer
A fast, ergonomic and portable tensor library in Nim with a deep learning focus for CPU, GPU and embedded devices via OpenMP, Cuda and OpenCL backends
autograd automatic-differentiation cuda cudnn deep-learning gpgpu gpu-computing high-performance-computing iot linear-algebra machine-learning matrix-library multidimensional-arrays ndarray neural-networks nim opencl openmp parallel-computing tensor
Last synced: 14 May 2025
https://github.com/sb-ai-lab/lightautoml
Fast and customizable framework for automatic ML model creation (AutoML)
automated-machine-learning automatic-machine-learning automl automl-algorithms binary-classification data-science kaggle lama machine-learning multiclass-classification nlp python regression
Last synced: 14 May 2025
https://github.com/mossr/beautifulalgorithms.jl
Concise and beautiful algorithms written in Julia
algorithms decision-making-under-uncertainty julia machine-learning neural-network optimization quine regression reinforcement-learning sorting
Last synced: 14 May 2025
https://github.com/lorey/mlscraper
🤖 Scrape data from HTML websites automatically by just providing examples
crawler crawler-python crawling extraction-engine html machine-learning scraper scraping
Last synced: 15 May 2025
https://github.com/avhz/rustquant
Rust library for quantitative finance.
finance machine-learning math mathematics option-pricing quantitative-finance quantlib regression rust rust-lang statistics stochastic-processes trading
Last synced: 13 May 2025
https://github.com/bat67/pytorch-tutorials-examples-and-books
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
deep-learning deep-learning-algorithms deep-learning-tutorial deeplearning learning-pytorch library machine-learning neural-network numpy python python3 pytorch pytorch-ppt pytorch-tutorials slide
Last synced: 16 May 2025
https://github.com/interpretml/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
counterfactual-explanations deep-learning explainable-ai explainable-ml interpretable-machine-learning machine-learning xai
Last synced: 25 Mar 2025
https://github.com/OPHoperHPO/image-background-remove-tool
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
background-removal background-removal-js basnet computer-vision deeplabv3 docker fastapi machine-learning matting python pytorch remove-background salient-object-detection segmentation torch transfer-learning trimap u2net
Last synced: 14 Mar 2025
https://github.com/ophoperhpo/image-background-remove-tool
✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
background-removal background-removal-js basnet computer-vision deeplabv3 docker fastapi machine-learning matting python pytorch remove-background salient-object-detection segmentation torch transfer-learning trimap u2net
Last synced: 02 Oct 2025
https://github.com/geomstats/geomstats
Computations and statistics on manifolds with geometric structures.
deep-learning geodesic geometry gpu-programming lie-groups machine-learning manifold neural-networks riemannian-geometry statistics
Last synced: 13 May 2025
https://github.com/gradslam/gradslam
gradslam is an open source differentiable dense SLAM library for PyTorch
3d-reconstruction deep-learning machine-learning robotics slam
Last synced: 16 May 2025
