pyhf
pyhf: pure-Python implementation of HistFactory statistical models - Published in JOSS (2021)
Spleeter
Spleeter: a fast and efficient music source separation tool with pre-trained models - Published in JOSS (2020)
Foolbox Native
Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX - Published in JOSS (2020)
Larq
Larq: An Open-Source Library for Training Binarized Neural Networks - Published in JOSS (2020)
Choice-Learn
Choice-Learn: Large-scale choice modeling for operational contexts through the lens of machine learning - Published in JOSS (2024)
PyBCI
PyBCI: A Python Package for Brain-Computer Interface (BCI) Design - Published in JOSS (2023)
TensorFlow.jl
TensorFlow.jl: An Idiomatic Julia Front End for TensorFlow - Published in JOSS (2018)
HOOMD-TF
HOOMD-TF: GPU-Accelerated, Online Machine Learning in the HOOMD-blue Molecular Dynamics Engine - Published in JOSS (2020)
deepmd-kit
A deep learning package for many-body potential energy representation and molecular dynamics
datasets
🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools
zfit
Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and user friendly experience.
fib-tf
fib-tf: A TensorFlow-based Cardiac Electrophysiology Simulator - Published in JOSS (2018)
quantus
Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations
decimer
DECIMER Image Transformer is a deep-learning-based tool designed for automated recognition of chemical structure images. Leveraging transformer architectures, the model converts chemical images into SMILES strings, enabling the digitization of chemical data from scanned documents, literature, and patents.
tensorcircuit
Tensor network based quantum software framework for the NISQ era
nobrainer
A framework for developing neural network models for 3D image processing.
tensorcircuit-ng
The next-gen tensor network based quantum software framework: superseding the original TensorCircuit
deepxde
A library for scientific machine learning and physics-informed learning
onnx2tf
Self-Created Tools to convert ONNX files (NCHW) to TensorFlow/TFLite/Keras format (NHWC). The purpose of this tool is to solve the massive Transpose extrapolation problem in onnx-tensorflow (onnx-tf). I don't need a Star, but give me a pull request.
nrel-sup3r
The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.
cvnn
Library to help implement a complex-valued neural network (cvnn) using tensorflow as back-end
smart-transformers
Smart Transformers are a versatile machine learning tool that can be integrated with Pytorch, TensorFlow, and JAX. Smart transformers provide accurate computations required for cryptographic algorithms. These transformers is that they are independent modules, making it efficient to experiment with various research projects related to cryptanalysis
irl-imitation
Implementation of Inverse Reinforcement Learning (IRL) algorithms in Python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL
emlearn
Machine Learning inference engine for Microcontrollers and Embedded devices
ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
iree-base-compiler
A retargetable MLIR-based machine learning compiler and runtime toolkit.
orthoseg
OrthoSeg makes it easy to train neural networks to segment orthophotos.
tensorflow-recommenders
TensorFlow Recommenders is a library for building recommender system models using TensorFlow.
libtensorflow_cc
Pre-built libtensorflow_cc.so and Docker Images for TensorFlow C++ API
acttensor-tf
ActTensor: Activation Functions for TensorFlow. https://pypi.org/project/ActTensor-tf/ Authors: Pouya Ardehkhani, Pegah Ardehkhani
mosec
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
rapidae
Explore, compare and develop autoencoder models with a back-end agnostic framework
deep-koalarization
Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)
Delira
Delira: A High-Level Framework for Deep Learning in Medical Image Analysis - Published in JOSS (2019)
pennylane
PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry. Built by researchers, for research.
onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
pyhpc-benchmarks
A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:
yggdrasil-decision-forests
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
tooth-detection-and-numbering
T.C. Maltepe University Graduate Project (Tooth Detection and Numbering From Panoramic Radiography Adult Patients Using Artificial Neural Network)
https://github.com/google-research/retvec
RETVec is an efficient, multilingual, and adversarially-robust text vectorizer.
polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
thinc
🔮 A refreshing functional take on deep learning, compatible with your favorite libraries
RL
RL: Generic reinforcement learning codebase in TensorFlow - Published in JOSS (2019)
iucnn
Train neural networks based on geographic species occurrences, environmental data and existing IUCN Red List assessments to predict the conservation status of "Not Evaluated" species, for any taxon or geographic region of interest. https://iucnn.github.io/IUCNN/
coremltools
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
deeplake
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
cvat
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
https://github.com/zenml-io/zenml
ZenML 🙏: MLOps for Reliable AI: from Classical AI to Agents. https://zenml.io.
persian-news-crawler
Simple Script To Crawl Data From Persian News Agencies Including Fars, Mehr.
jetson-containers
Machine Learning Containers for NVIDIA Jetson and JetPack-L4T
evidential-deep-learning
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
stt
🐸STT - The deep learning toolkit for Speech-to-Text. Training and deploying STT models has never been so easy.
https://github.com/google/dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
hybrid-vocal-classifier
a Python machine learning library for animal vocalizations and bioacoustics
ktrain
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
https://github.com/eidoslab/torchstain
Stain normalization tools for histological analysis and computational pathology
https://github.com/bonsai-rx/deeplabcut
A Bonsai interface for real-time markerless pose estimation using DeepLabCut
cppe5
Code for our paper CPPE - 5 (Medical Personal Protective Equipment), a new challenging object detection dataset
vehicle_collision_prediction_using_cnn-lstms
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
open-rl
Implementations of a large collection of reinforcement learning algorithms.
seglight
Super fast and real-time semantic segmentation (cpu only) can be use for 1 core cpu