901.tensorflow / meshArchived
Mesh TensorFlow: Model Parallelism Made Easier
Ranked by Attention Score: stars gained over the last 180 complete days
901–1000 of 1,098 by Attention Score · May 9, 2026 – Nov 4, 2026 (UTC)
Mesh TensorFlow: Model Parallelism Made Easier
On-line Machine Learning in Go (and so much more)
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
Industry-strength Computer Vision workflows with Keras
Scalable, event-driven, deep-learning-friendly backtesting library
Sparkling Water provides H2O functionality inside Spark cluster
A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well
U-Net Brain Tumor Segmentation
Selected Machine Learning algorithms for natural language processing and semantic analysis in Golang
:hospital: Medical Text Mining and Information Extraction with spaCy
Crop Yield Prediction with Deep Learning
Implementation for PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation (CVPR 2020)
Real-time LIDAR-based Urban Road and Sidewalk detection for Autonomous Vehicles 🚗
[wip] Deep Learning Compiler based on Polyhedral Compiler, Light-weight IRs, and Optimizing Pattern Matcher. (development is on hold)
DeepWrite AI is Made with the Help of ChatGPT3 and Specific Model is Prepared for Generating Perfect Blog Post with atmost Clarity. This is Just the Version 1.0 More Improvement Will be Implemented.
OpenBioLink is a resource and evaluation framework for evaluating link prediction models on heterogeneous biomedical graph data.
A toolkit for evaluating and monitoring AI models in clinical settings
Address book for computer vision models.
Research experiments exploring uncommon quant techniques.
C# math expression library with symbolic computation support
AI knowledge workbench for Neovim.
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.
Lightweight library to build and train neural networks in Theano
java deep learning algorithms and deep neural networks with gpu acceleration
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Environment for reinforcement-learning algorithmic trading models
A light-weight deep reinforcement learning framework for portfolio management. This project explores the possibility of applying deep reinforcement learning algorithms to stock trading in a highly modular and scalable framework.
An OpenAI gym wrapper for CARLA simulator
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
A multilingual command line sentence tokenizer in Golang
scikit-learn inspired API for CRFsuite
[IROS 2020] se(3)-TrackNet: Data-driven 6D Pose Tracking by Calibrating Image Residuals in Synthetic Domains
This is a package for LiDARTag, described in paper: LiDARTag: A Real-Time Fiducial Tag System for Point Clouds
A Network Integration Approach for Drug-Target Interaction Prediction
TransformerCPI: Improving compound–protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments(BIOINFORMATICS 2020) https://doi.org/10.1093/bioinformatics/btaa524
Nellie: Automated organelle segmentation, tracking, and hierarchical feature extraction in 2D/3D live-cell microscopy
▶️ An awesome list of awesome Brazilian YouTubers that teach about technology. Tutorials about web development, computer science, machine learning, game development, cybersecurity, and more.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
Conflict-free merge for DataFrames, JSON, ML models & distributed agents — powered by CRDTs. The first merge library where every operation is mathematically guaranteed to converge.
The original code from the DeepMind article + my tweaks
Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!
Hyperparameter Experiments with TensorFlow and Keras
Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.
BLEURT is a metric for Natural Language Generation based on transfer learning.
Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)
DiffSharp: Differentiable Functional Programming
food image to recipe with deep convolutional neural networks.
Nimfa: Nonnegative matrix factorization in Python
A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.
Fashion Detection in the Wild (Deep Clothes Detector)
A 3D vision library from 2D keypoints: monocular and stereo 3D detection for humans, social distancing, and body orientation.
TranslatedTensorFlow in practice: using LSTM to predict lottery results
This repository provides you with an easy-to-use labeling tool for State-of-the-art Deep Learning training purposes. It supports Auto-Labeling.
Fast and Portable Character String Processing in R (with the Unicode ICU)
Current version of the SuperLearner R package
TriWild: Robust Triangulation with Curve Constraints
Janus: a state-of-the-art file system fuzzer on Linux
Python parser and tools for MUSDB18 Music Separation Dataset
Modular, fast NLP framework, compatible with Pytorch and spaCy, offering tailored support for French clinical notes.
Axon/Myelin segmentation using Deep Learning
Translated:book: NYU Machine Learning in Finance Chinese Notes
A platform independent tensor library with autograd for the JVM
Turn any web page into an audiobook, works in the background on desktop!
A Serverless Text Annotation Tool for Corpus Development
Generate conventional commit messages using AI, directly in Neovim
Micropython binding for the ESP32 DL AI vision models like face detection / recognition, imagenet classifier or pedestrian (human) detection
Screenshot & OG Images. One API Call. — Edge-native OG image generation API powered by Cloudflare Workers.
A lightweight Python package for teaching computational methods through art history. Extract and analyze artist-specific works from WikiArt with built-in visualizations. Designed for digital humanities and computational design courses. Features genre/style analysis, matplotlib integration, and pedagogical clarity over algorithmic complexity.
Intel® Nervana™ reference deep learning framework committed to best performance on all hardware
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot
[ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Transpile trained scikit-learn estimators and transformers to C, C#, Go, Java, JavaScript, PHP and Ruby.
PySpark + Scikit-learn = Sparkit-learn
Neural question generation using transformers
A scikit-learn based module for multi-label et. al. classification
Minerva: a fast and flexible tool for deep learning on multi-GPU. It provides ndarray programming interface, just like Numpy. Python bindings and C++ bindings are both available. The resulting code can be run on CPU or GPU. Multi-GPU support is very easy.
Code for the USENIX 2017 paper: kAFL: Hardware-Assisted Feedback Fuzzing for OS Kernels
QKeras: a quantization deep learning library for Tensorflow Keras
Artificial Neural Network
Engine for AI/ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.
Scan the MRZ code of a passport and extract the firstname, lastname, passport number, nationality, date of birth, expiration date and personal numer.
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API
Official Code: Implicit 3D Orientation Learning for 6D Object Detection from RGB Images
Pytorch framework for doing deep learning on point clouds.
zoofs is a python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
This trading-gym is the first trading for agent to train with episode of short term trading itself.
Communicating with godot engine through shared memory
Deep and Machine Learning for Microscopy