Neural Networks: Zero to Hero
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A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Your new Mentor for Data Science E-Learning.
- tensorflow
- machine-learning
- machine-vision
- datascience
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
Industry-standard navigation-mesh toolset for games
- ai
- crowd-simulation
- game-development
- navigation
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Make videos on the computer you already own. FreeVideo runs MiniMax H3 in as little as 8 GB of VRAM and 16 GB of RAM, and adapts its acceleration path to your hardware.
A selection of state-of-the-art research materials on trajectory prediction
- trajectory-prediction
- trajectory-generation
- social-interactions
- behavior-prediction
Artificial Intelligence framework for games based on libGDX or not. Features: Steering Behaviors, Formation Motion, Pathfinding, Behavior Trees and Finite State Machines
- libgdx
- pathfinding
- steering-behaviors
- formation-motion
Robotics with GPU computing
DotRecast - a C# port of Recast & Detour, Industry-standard navigation mesh toolset for .NET, Unity3D, games, servers
- detour
- recast
- navmesh
- pathfinding
Vulkan, OptiX and CUDA Interoperation Modular Rendering Library and Framework for PC/Linux/Android
- vulkan
- raytracing
- graphics-engine
- graphics-library
Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.
- histopathology-images
- microscopy
- sliding-windows
- medical-image-analysis
Ruby library for interfacing with FANN (Fast Artificial Neural Network)
- ai
- ruby-fann
- ruby-gem
- neural-network
Tools for computational pathology
- machine-learning
- digital-pathology
- computational-pathology
- biomedical-image-processing
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
- ai
- cell
- digitalpathology
- microscopy
Pathology Language and Image Pre-Training (PLIP) is the first vision and language foundation model for Pathology AI (Nature Medicine). PLIP is a large-scale pre-trained model that can be used to extract visual and language features from pathology images and text description. The model is a fine-tuned version of the original CLIP model.
- artificial-intelligence
- clip
- pathology
- vision-and-language
Fusing Histology and Genomics via Deep Learning - IEEE TMI
- pathomic
- fusion
- multimodal
- pathology
AI-based pathology predicts origins for cancers of unknown primary - Nature
- histology
- pathology
- wsi-images
- histopathology
⚡ Open-source software for deep learning-based digital pathology
- deep-learning
- machine-learning
- digital-pathology
- computational-pathology
A foundation model-driven whole slide image-scale cell phenotyping method with QuPath integration Resources
- bioimage-analysis
- cell-classification
- computer-vision
- digital-pathology
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