A PyTorch Library for Accelerating 3D Deep Learning Research
- pytorch
- 3d-deep-learning
- neural-networks
- differentiable-rendering
Repository Index
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Brings SQL and AI together.
- sqlflow
- sql-syntax
- ai
- transpiler
Image augmentation library in Python for machine learning.
- augmentation
- machine-learning
- deep-learning
- neural-networks
links to conference publications in graph-based deep learning
- graph-neural-networks
- graph-convolutional-networks
- graph
- deep-learning
Run Keras models in the browser, with GPU support using WebGL
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.
- keras
- deep-learning
- text-generation
- tensorflow
High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
:satellite: All You Need to Know About Deep Learning - A kick-starter
A unified, comprehensive and efficient recommendation library
- recommender-systems
- collaborative-filtering
- knowledge-graph
- ctr-prediction
:earth_americas: Simple and ready-to-use tutorials for TensorFlow
Scalable and user friendly neural :brain: forecasting algorithms.
- deep-learning
- forecasting
- esrnn
- nbeats
Visual localization made easy with hloc
- deep-learning
- visual-localization
- feature-matching
- image-retrieval
Quant/Algorithm trading resources with an emphasis on Machine Learning
Open-source library of optimized deep learning operations (matmul, convolution, attention) for CPUs (x64, AArch64, RISC-V) and Intel GPUs. Used by PyTorch, TensorFlow, OpenVINO, and ONNX Runtime.
- onednn
- oneapi
- performance
- cpp
Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.
- machine-learning
- ml
- model-validation
- data-validation
Interactive Image Generation via Generative Adversarial Networks
- generative-adversarial-network
- image-manipulation
- computer-graphics
- computer-vision
Lightweight library to build and train neural networks in Theano
- deep-learning-library
- neural-networks
- python
- theano
A python library for self-supervised learning and latent world models on images.
- deep-learning
- self-supervised-learning
- machine-learning
- computer-vision
AI Infra / AI Orchestration / AI Control Plane
Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support.
- webgpu
- deep-learning
- stable-diffusion
- web-assembly
A best practice for tensorflow project template architecture.
- tesnorflow
- software-engineering
- oop
- deep-learning
🛠 All-in-one web-based IDE specialized for machine learning and data science.
Seamlessly integrate LLMs into scikit-learn.