MakazhanAlpamys/Soup
Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
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Fine-tune LLMs from one YAML. Layer streaming trains an 8B model on a 4 GB laptop GPU.
An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.
Open source real-time translation app for Android that runs locally
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
SANA: Efficient High-Resolution Image Synthesis with Linear Diffusion Transformer
Machine Learning Engineering Open Book
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
A straightforward method for training your LLM, from downloading data to generating text.
Turn any LLM into a Jev-style decision model: typed decisions, real probabilities, no training. (continue updating, welcome any issue and PR request)
Ongoing research training transformer models at scale
Chronos: Pretrained Models for Time Series Forecasting
OpenVINO™ is an open source toolkit for optimizing and deploying AI inference
Local-first privacy guard: anonymize your documents before sharing with LLMs.
A native .NET LLM inference engine and agent runtime for GGUF models. TensorSharp provides a console application, a web-based chatbot interface, iPhone App, and Ollama/OpenAI-compatible HTTP APIs for programmatic access. It supports Windows/MacOS/iOS/Linux with full GPU capability
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl / LLaMA Factory / ms-swift / Ultralytics / MMEngine / Keras etc.
Apple MLX native implementations of state-of-the-art generative image & video models
⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
PTQ-Level Efficiency, QAT-Level Accuracy | 训练后量化的效率，量化感知训练的精度
LLM model quantization (compression) toolkit with HW acceleration support for Nvidia, AMD, Intel GPU and Intel/AMD/Apple CPU via HF, vLLM, and SGLang.
A machine learning software for extracting information from scholarly documents
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools
Scalable and memory-optimized training of diffusion models
LLM KV cache compression made easy
An Easy-to-use, Scalable and High-performance Agentic RL Framework based on Ray (PPO & DAPO & REINFORCE++ & VLM & TIS & vLLM & Ray & Async RL)
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