Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
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: 2024-07-29 13:47:44 UTC
- JSON Representation
https://github.com/404notf0und/ai-for-security-learning
安全场景、基于AI的安全算法和安全数据分析业界实践
data-analysis data-mining machine-learning security
Last synced: 01 Aug 2024
https://github.com/trevorstephens/gplearn
Genetic Programming in Python, with a scikit-learn inspired API
genetic-programming machine-learning python scikit-learn symbolic-regression
Last synced: 01 Aug 2024
https://github.com/google-research/language
Shared repository for open-sourced projects from the Google AI Language team.
machine-learning natural-language-processing research
Last synced: 02 Aug 2024
https://github.com/ranahanocka/MeshCNN
Convolutional Neural Network for 3D meshes in PyTorch
3d computer-graphics convolutional-neural-networks geometric-deep-learning machine-learning mesh pytorch segmentation
Last synced: 31 Jul 2024
https://github.com/lovoo/NSFWDetector
A NSFW (aka porn) detector with CoreML
cocoapods coreml ios ios-library lovoo machine-learning swift
Last synced: 14 Aug 2024
https://github.com/aws-samples/aws-machine-learning-university-accelerated-cv
Machine Learning University: Accelerated Computer Vision Class
computer-vision deep-learning gluon gluoncv machine-learning mxnet python
Last synced: 03 Aug 2024
https://github.com/Microsoft/EdgeML
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
bonsai classifier cpp deep-learning edge-computing edge-devices edge-machine-learning emi-rnn fastgrnn fastrnn iot-device machine-learning machine-learning-algorithms microsoft microsoft-research protonn pytorch resource-constrained-ml sensor tensorflow
Last synced: 02 Aug 2024
https://github.com/microsoft/EdgeML
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
bonsai classifier cpp deep-learning edge-computing edge-devices edge-machine-learning emi-rnn fastgrnn fastrnn iot-device machine-learning machine-learning-algorithms microsoft microsoft-research protonn pytorch resource-constrained-ml sensor tensorflow
Last synced: 01 Aug 2024
https://github.com/google/nerfies
This is the code for Deformable Neural Radiance Fields, a.k.a. Nerfies.
3d machine-learning nerf neural-network neural-rendering
Last synced: 01 Aug 2024
https://github.com/cdipaolo/goml
On-line Machine Learning in Go (and so much more)
Last synced: 30 Jul 2024
https://github.com/4paradigm/OpenMLDB
OpenMLDB is an open-source machine learning database that provides a feature platform computing consistent features for training and inference.
database-for-ai database-for-machine-learning feature-engineering feature-extraction feature-store featureops featurestore in-memory-database machine-learning machine-learning-database mlops
Last synced: 01 Aug 2024
https://github.com/explosion/spacy-models
💫 Models for the spaCy Natural Language Processing (NLP) library
machine-learning machine-learning-models models natural-language-processing nlp spacy spacy-models statistical-models
Last synced: 31 Jul 2024
https://github.com/instacart/lore
Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers
Last synced: 30 Jul 2024
https://github.com/dotnet/infer
Infer.NET is a framework for running Bayesian inference in graphical models
bayesian-inference machine-learning
Last synced: 01 Aug 2024
https://github.com/cdipaolo/Goml
On-line Machine Learning in Go (and so much more)
Last synced: 30 Jul 2024
https://github.com/google/uis-rnn
This is the library for the Unbounded Interleaved-State Recurrent Neural Network (UIS-RNN) algorithm, corresponding to the paper Fully Supervised Speaker Diarization.
clustering machine-learning speaker-diarization speaker-recognition supervised-clustering supervised-learning uis-rnn
Last synced: 03 Aug 2024
https://github.com/nautechsystems/nautilus_trader
A high-performance algorithmic trading platform and event-driven backtester
algorithmic-trading-engine artificial-intelligence crypto-trading equity-trading forex futures-trading machine-learning options-trading python rust sports-betting trading trading-platform
Last synced: 31 Jul 2024
https://dotnet.github.io/infer/
Infer.NET is a framework for running Bayesian inference in graphical models
bayesian-inference machine-learning
Last synced: 01 Aug 2024
https://github.com/IBM/AIX360
Interpretability and explainability of data and machine learning models
artificial-intelligence codait deep-learning explainabil explainable-ai explainable-ml ibm-research ibm-research-ai machine-learning trusted-ai trusted-ml xai
Last synced: 29 Jul 2024
https://github.com/Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
artificial-intelligence codait deep-learning explainabil explainable-ai explainable-ml ibm-research ibm-research-ai machine-learning trusted-ai trusted-ml xai
Last synced: 31 Jul 2024
https://github.com/dustinvtran/ml-videos
A collection of video resources for machine learning
conference machine-learning statistics summer-schools video workshops
Last synced: 01 Aug 2024
https://github.com/rsxdalv/tts-generation-webui
TTS Generation Web UI (Bark, MusicGen + AudioGen, Tortoise, RVC, Vocos, Demucs, SeamlessM4T, MAGNet, StyleTTS2, MMS)
ai audio-generation audiogen bark deep-learning generator gradio machine-learning magnet music musicgen rvc seamlessm4t styletts2 text-to-speech torch tortoise-tts tts vocos web
Last synced: 01 Aug 2024
https://github.com/AsuharietYgvar/AppleNeuralHash2ONNX
Convert Apple NeuralHash model for CSAM Detection to ONNX.
apple machine-learning neuralhash reverse-engineering
Last synced: 30 Jul 2024
https://github.com/chemprop/chemprop
Message Passing Neural Networks for Molecule Property Prediction
chemistry drug-discovery machine-learning neural-networks
Last synced: 03 Aug 2024
https://github.com/alkaline-ml/pmdarima
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
arima econometrics forecasting forecasting-models machine-learning pmdarima python sarimax time-series
Last synced: 30 Jul 2024
https://github.com/tgsmith61591/pyramid
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
arima econometrics forecasting forecasting-models machine-learning pmdarima python sarimax time-series
Last synced: 05 Aug 2024
https://github.com/devnag/pytorch-generative-adversarial-networks
A very simple generative adversarial network (GAN) in PyTorch
deep-learning gan gans machine-learning pytorch
Last synced: 30 Jul 2024
https://github.com/spiceai/spiceai
A unified SQL query interface and portable runtime to locally materialize, accelerate, and query datasets from any database, data warehouse, or data lake.
artificial-intelligence data developers infrastructure machine-learning sql time-series
Last synced: 01 Aug 2024
https://github.com/KomputeProject/kompute
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
cpp deep-learning deep-learning-gpu gpgpu gpu-computing machine-learning machine-learning-gpu python vulkan vulkan-compute vulkan-compute-example vulkan-compute-framework vulkan-compute-tutorial vulkan-demos vulkan-example vulkan-tutorial
Last synced: 01 Aug 2024
https://github.com/google-deepmind/optax
Optax is a gradient processing and optimization library for JAX.
Last synced: 01 Aug 2024
https://github.com/datamade/usaddress
:us: a python library for parsing unstructured United States address strings into address components
address address-parser conditional-random-fields crf machine-learning natural-language-processing nlp parserator python python-library
Last synced: 01 Aug 2024
https://github.com/bfelbo/DeepMoji
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
ai deep-learning keras machine-learning natural-language-processing neural-networks nlp python sentiment-analysis tensorflow text-classification
Last synced: 02 Aug 2024
https://github.com/nubank/fklearn
fklearn: Functional Machine Learning
data-analysis data-science machine-learning ml python
Last synced: 01 Aug 2024
https://github.com/ahangchen/GDLnotes
Google Deep Learning Notes(TensorFlow教程)
deep-learning machine-learning tensorflow
Last synced: 02 Aug 2024
https://github.com/luwill/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
jupyter-notebook machine-learning python
Last synced: 01 Aug 2024
https://github.com/dair-ai/Transformers-Recipe
🧠 A study guide to learn about Transformers
ai deep-learning machine-learning natural-language-processing nlp
Last synced: 01 Aug 2024
https://github.com/enzoampil/fastquant
fastquant — Backtest and optimize your ML trading strategies with only 3 lines of code!
algotrading backtesting cryptocurrency data-science financial-data-science machine-learning quantitative-finance stocks trading-strategies
Last synced: 31 Jul 2024
https://github.com/AxeldeRomblay/MLBox
MLBox is a powerful Automated Machine Learning python library.
auto-ml automated-machine-learning automl classification data-science deep-learning distributed drift encoding kaggle keras lightgbm machine-learning optimization pipeline prediction preprocessing regression stacking xgboost
Last synced: 02 Aug 2024
https://github.com/Hironsan/anago
Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.
deep-learning keras machine-learning named-entity-recognition natural-language-processing sequence-labeling
Last synced: 01 Aug 2024
https://github.com/pkmital/CADL
ARCHIVED: Contains historical course materials/Homework materials for the FREE MOOC course on "Creative Applications of Deep Learning w/ Tensorflow" #CADL
deep-learning dockerfile jupyter-notebook machine-learning mooc neural-network tensorflow tutorial workshop
Last synced: 02 Aug 2024
https://github.com/BloodAxe/pytorch-toolbelt
PyTorch extensions for fast R&D prototyping and Kaggle farming
augmentation deep-learning focal-loss image-classification image-processing image-segmentation jaccard-loss kaggle machine-learning object-detection pipeline python pytorch segmentation test-time-augmentation tta
Last synced: 01 Aug 2024
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: 03 Aug 2024
https://github.com/adblockradio/adblockradio
An adblocker for live radio streams and podcasts. Machine learning meets Shazam.
adblock adblockradio ai keras machine-learning shazam signal-processing tensorflow
Last synced: 30 Jul 2024
https://github.com/tensorflow/model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
compression deep-learning keras machine-learning ml model-compression optimization pruning quantization quantized-networks quantized-neural-networks quantized-training sparsity tensorflow
Last synced: 31 Jul 2024
https://github.com/h2oai/h2o-tutorials
Tutorials and training material for the H2O Machine Learning Platform
data-science deep-learning h2o machine-learning python r tutorial
Last synced: 30 Jul 2024
https://github.com/dair-ai/nlp_paper_summaries
✍️ A carefully curated list of NLP paper summaries
deep-learning machine-learning nlp
Last synced: 30 Jul 2024
https://github.com/samim23/polymath
Convert any music library into a music production sample-library with ML
audio machine-learning ml music python
Last synced: 04 Aug 2024
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: 31 Jul 2024
https://github.com/o19s/elasticsearch-learning-to-rank
Plugin to integrate Learning to Rank (aka machine learning for better relevance) with Elasticsearch
elasticsearch elasticsearch-plugin elasticsearch-plugins machine-learning relevant-search search-relevance
Last synced: 31 Jul 2024
https://github.com/datawhalechina/key-book
《机器学习理论导引》(宝箱书)的证明、案例、概念补充与参考文献讲解。
deep-learning key-book machine-learning
Last synced: 31 Jul 2024
https://github.com/invictus717/MetaTransformer
Meta-Transformer for Unified Multimodal Learning
artificial-intelligence computer-vision foundationmodel machine-learning multimedia multimodal transformers
Last synced: 01 Aug 2024
https://github.com/FluxML/Zygote.jl
21st century AD
automatic-differentiation control-flow gradient julia julia-compiler machine-learning
Last synced: 31 Jul 2024
https://github.com/kubeflow/katib
Automated Machine Learning on Kubernetes
ai automl huggingface hyperparameter-tuning jax kubeflow kubernetes llm machine-learning mlops neural-architecture-search pytorch scikit-learn tensorflow
Last synced: 01 Aug 2024
https://github.com/kubeflow/training-operator
Distributed ML Training and Fine-Tuning on Kubernetes
ai distributed fine-tuning gpu huggingface jax kubeflow kubernetes llm machine-learning mlops python pytorch tensorflow xgboost
Last synced: 02 Aug 2024
https://github.com/kubeflow/tf-operator
Distributed ML Training and Fine-Tuning on Kubernetes
ai distributed fine-tuning gpu huggingface jax kubeflow kubernetes llm machine-learning mlops python pytorch tensorflow xgboost
Last synced: 19 Aug 2024
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: 30 Jul 2024
https://github.com/lyuchenyang/Macaw-LLM
Macaw-LLM: Multi-Modal Language Modeling with Image, Video, Audio, and Text Integration
deep-learning language-model machine-learning multi-modal-learning natural-language-processing neural-networks
Last synced: 01 Aug 2024
https://github.com/ironmussa/Optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
big-data-cleaning bigdata cudf dask dask-cudf data-analysis data-cleaner data-cleaning data-cleansing data-exploration data-extraction data-preparation data-profiling data-science data-transformation data-wrangling machine-learning pyspark spark
Last synced: 30 Jul 2024
https://github.com/hi-primus/optimus
:truck: Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark
big-data-cleaning bigdata cudf dask dask-cudf data-analysis data-cleaner data-cleaning data-cleansing data-exploration data-extraction data-preparation data-profiling data-science data-transformation data-wrangling machine-learning pyspark spark
Last synced: 31 Jul 2024
https://github.com/Tiiiger/bert_score
BERT score for text generation
machine-learning natural-language-processing
Last synced: 01 Aug 2024
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: 02 Aug 2024
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: 31 Jul 2024
https://github.com/BindsNET/bindsnet
Simulation of spiking neural networks (SNNs) using PyTorch.
dynamic gpu-computing machine-learning neurons pytorch reinforcement-learning simulation snn spiking-neural-networks stdp synapse
Last synced: 02 Aug 2024
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: 31 Jul 2024
https://github.com/igrigorik/decisiontree
ID3-based implementation of the ML Decision Tree algorithm
decision-tree machine-learning ruby rubyml
Last synced: 31 Jul 2024
https://github.com/alexrozanski/LlamaChat
Chat with your favourite LLaMA models in a native macOS app
ai llama llamacpp machine-learning macos swift swiftui
Last synced: 31 Jul 2024
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: 01 Aug 2024
https://github.com/visual-layer/fastdup
fastdup is a powerful free tool designed to rapidly extract valuable insights from your image & video datasets. Assisting you to increase your dataset images & labels quality and reduce your data operations costs at an unparalleled scale.
data-augmentation data-curation dataset deep-learning image image-analysis image-classfication image-classification image-duplicate-detection image-processing image-similarity machine-learning novelty-detection object-detection outlier-detection python visual-search visualization visualization-tools
Last synced: 01 Aug 2024
https://github.com/pavlin-policar/openTSNE
Extensible, parallel implementations of t-SNE
dimensionality-reduction embedding machine-learning tsne visualization
Last synced: 01 Aug 2024
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: 02 Aug 2024
https://github.com/JustGlowing/minisom
:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps
clustering dimensionality-reduction machine-learning manifold-learning neural-networks outlier-detection self-organizing-map som unsupervised-learning vector-quantization
Last synced: 02 Aug 2024
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: 07 Aug 2024
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: 01 Aug 2024
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: 01 Aug 2024
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: 29 Jul 2024
https://github.com/ydataai/ydata-synthetic
Synthetic data generators for tabular and time-series data
datageneration datagenerator deep-learning gan gan-architectures gans generative-adversarial-network machine-learning python3 pytorch synthetic-data tensorflow2 time-series timeseries training-data
Last synced: 01 Aug 2024
https://github.com/scikit-learn-contrib/metric-learn
Metric learning algorithms in Python
machine-learning metric-learning python scikit-learn
Last synced: 01 Aug 2024
https://github.com/metric-learn/metric-learn
Metric learning algorithms in Python
machine-learning metric-learning python scikit-learn
Last synced: 07 Aug 2024
https://github.com/nod-ai/SHARK
SHARK - High Performance Machine Learning Distribution
amd apple-silicon deep-learning machine-learning mlir nvidia pytorch
Last synced: 01 Aug 2024
https://github.com/TorchCraft/TorchCraft
Connecting Torch to StarCraft
bwapi deep-learning machine-learning reinforcement-learning starcraft torch torchcraft
Last synced: 30 Jul 2024
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: 31 Jul 2024
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 Aug 2024
https://github.com/google/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow
Last synced: 01 Aug 2024
https://github.com/google/generative-ai-docs
Documentation for Google's Gen AI site - including the Gemini API and Gemma
ai chatbot documentation embeddings gemini gemini-api gemma llm machine-learning
Last synced: 04 Aug 2024
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: 02 Aug 2024
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: 31 Jul 2024
https://github.com/pytorch/executorch
On-device AI across mobile, embedded and edge for PyTorch
deep-learning embedded gpu machine-learning mobile neural-network tensor
Last synced: 31 Jul 2024
https://github.com/datamllab/tods
TODS: An Automated Time-series Outlier Detection System
anomaly-detection automl machine-learning outlier-detection time-series time-series-analysis time-series-anomaly-detection
Last synced: 31 Jul 2024
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: 04 Aug 2024
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: 31 Jul 2024
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: 04 Aug 2024
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: 30 Jul 2024
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: 30 Jul 2024
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: 31 Jul 2024
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: 02 Aug 2024
https://github.com/ebhy/budgetml
Deploy a ML inference service on a budget in less than 10 lines of code.
api data-science deployment fastapi inference machine-learning mlops
Last synced: 01 Aug 2024
https://github.com/patrick-kidger/diffrax
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: 01 Aug 2024
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: 31 Jul 2024
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: 01 Aug 2024