Label Studio is a multi-type data labeling and annotation tool with standardized output format
- computer-vision
- deep-learning
- image-annotation
- annotation-tool
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Label Studio is a multi-type data labeling and annotation tool with standardized output format
ncnn is a high-performance neural network inference framework optimized for the mobile platform
[CVPR 2023] SadTalker:Learning Realistic 3D Motion Coefficients for Stylized Audio-Driven Single Image Talking Face Animation
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
QLoRA: Efficient Finetuning of Quantized LLMs
Hackable and optimized Transformers building blocks, supporting a composable construction.
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
Optimized primitives for collective multi-GPU communication
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.
An open-source framework for machine learning and other computations on decentralized data.
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
[CONTRIBUTORS WELCOME] Generalized Additive Models in Python
HairDeck: Animation-Ready Stylized Hair Cards from a Single Image
QKeras: a quantization deep learning library for Tensorflow Keras
An open-source read-along document reader server with high-quality TTS options, synchronized highlighting, and audiobook export for EPUB, PDF, DOCX, TXT, and MD.
A Python platform to perform parallel computations of optimisation tasks (global and local) via the asynchronous generalized island model.
CAI NEURAL API - Pascal based deep learning neural network API optimized for AVX, AVX2 and AVX512 instruction sets plus OpenCL capable devices including AMD, Intel and NVIDIA.
Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...
Hyperparameter optimization and feature selection for scikit-learn using evolutionary algorithms. A modern alternative to GridSearchCV and RandomizedSearchCV.
AgML is a centralized framework for agricultural machine learning. AgML provides access to public agricultural datasets for common agricultural deep learning tasks, with standard benchmarks and pretrained models, as well the ability to generate synthetic data and annotations.
🚀 Production-ready AI-friendly Go REST API boilerplate with Clean Architecture, JWT auth, RBAC, PostgreSQL migrations, and highly tested. AI-optimized with built-in guidelines for most used IDEs. Docker hot-reload, Swagger docs, one-command setup. Build production APIs in minutes, not weeks.
This is a german ELMo deep contextualized word representation. It is trained on a special German Wikipedia Text Corpus.