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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more
The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, and optimize production-quality AI applications while controlling costs and managing access to models and data.
ncnn is a high-performance neural network inference framework optimized for the mobile platform
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
The Triton Inference Server provides an optimized cloud and edge inferencing solution.
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Hackable and optimized Transformers building blocks, supporting a composable construction.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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.
Nx-powered Neural Networks
An auto-evolution framework that optimizes anything — your 7×24 team of algorithm engineers.
🎯 A comprehensive gradient-free optimization framework written in Python
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.
Imgcompress is a self-hosted image processing toolbox that handles compression, format conversion, and AI background removal in a single web interface. It supports over 70 input formats (including PSD, HEIC, and RAW) and can output common formats or generate PDFs, all without sending files to external services.
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.
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
🚀 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.
Transform Git history: rewrite, clean, and optimize your repositories with ease.
OtosakuStreamingASR-iOS is a real-time speech recognition engine for iOS, built with Swift and Core ML. It uses a fast and lightweight streaming Conformer model optimized for on-device inference. Designed for developers who need efficient audio transcription on mobile.