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.
Framework for serverless Decentralized Applications using Ethereum, IPFS and other platforms
🛠 All-in-one web-based IDE specialized for machine learning and data science.
General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.
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.