SHAInet - a pure Crystal machine learning library
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A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
- micropython
- neural-network
- multilayer-perceptron
- mlp
A simple, flexible, and extensible template for PyTorch. It's beautiful.
Face detection using deep learning.
- face-detection
- faster-rcnn
- rcnn
- object-detection
AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology
TranslatedBuild GPT-2 from scratch in PyTorch, step by step
- attention
- chinese
- deep-learning
- from-scratch
The implementation code for "DAGAN: Deep De-Aliasing Generative Adversarial Networks for Fast Compressed Sensing MRI Reconstruction"
- generative-adversarial-network
- mri-reconstruction
- computer-vision
- deep-learning
ChemML is a machine learning and informatics program suite for the chemical and materials sciences.
- quantum-mechanics
- materials-informatics
- data-science
- machine-learning
The V Tensor Library
- v
- hacktoberfest
- autograd
- deep-learning
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.
- ai-engineering
- course
- data-engineering
- deep-learning
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
- nlp
- medical
- text-mining
- clinical-data-warehouse
Hand-gesture recognition on iOS app using CoreML
- ios
- ios11
- swift
- coreml
DH3D: Deep Hierarchical 3D Descriptors for Robust Large-Scale 6DOF Relocalization
- point-cloud
- deep-learning
- relocalization
- feature-learning
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for PyTorch Geometric. The paper is accepted by LoG 2023.
- gnn
- graph-neural-netowrks
- signed-networks
- directed-networks
⚡ Open-source software for deep learning-based digital pathology
- deep-learning
- machine-learning
- digital-pathology
- computational-pathology
Born is a modern ML framework for Go — train and deploy models as single binaries. Pure Go, zero CGO, GPU accelerated.
- autodiff
- automatic-differentiation
- cross-platform
- deep-learning
A tool for cell instance aware segmentation in densely packed 3D volumetric images
- segmentation
- deep-learning
- bioinformatics
- neural-network
Project tracking of the "Mobile ML Working Group", for the End-to-End TensorFlow Lite tutorials.
- tflite-model
- tensorflow-lite
- colab-notebook
- tutorials
🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
- beamforming
- mmwave
- positioning
- 5g
Configure Python functions explicitly and safely
- hyperparameters
- machine-learning
- deep-learning
- python3
Lowest barrier of entry to Image Processing, Computer Vision and Neural Networks on the JavaVM
- clojure
- computer-vision
- kotlin
- opencv
Axon/Myelin segmentation using Deep Learning
- deep-learning
- machine-learning
- myelin
- axon
A TensorFlow implementation of the Mnemonic Descent Method.
- tensorflow
- menpo
- face
- face-alignment
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
- ai-aided-drug-discovery
- awesome
- drug-discovery
- molecular-docking