Some notebooks for NLP

Small repo describing how to use Hugging Face's Wav2Vec2 with PyCTCDecode

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Repo for external large-scale work

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🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Public repo for HF blog posts

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PyTorch reimplementation of Diffusion Models

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Latent Text-to-Image Diffusion

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A high-throughput and memory-efficient inference and serving engine for LLMs

Machine Learning Engineering Open Book

Generative Models by Stability AI

InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

High-Resolution Image Synthesis with Latent Diffusion Models

Karras et al. (2022) diffusion models for PyTorch

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Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

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Incorporating KenLM language model with HuggingFace implementation of Wav2Vec2CTC Model using beam search decoding

:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, Korean, Chinese, German and Easy to adapt for other languages)

[WIP] Just some intuitions which can help you understand BigBird implementation.

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Ever used asyncio and wished you hadn't? A tiny (~300 lines) event loop for Python.

Latent Consistency Models: Synthesizing High-Resolution Images with Few-Step Inference

The package used to build the documentation of our Hugging Face repos

Audiocraft is a library for audio processing and generation with deep learning. It features the state-of-the-art EnCodec audio compressor / tokenizer, along with MusicGen, a simple and controllable music generation LM with textual and melodic conditioning.

ModelScope: bring the notion of Model-as-a-Service to life.

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Official implementation of VQ-Diffusion

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

High-Resolution Image Synthesis with Latent Diffusion Models

Ongoing research training transformer language models at scale, including: BERT & GPT-2

Repository for fine-tuning Transformers 🤗 based seq2seq speech models in JAX/Flax.

All the open source things related to the Hugging Face Hub.

KenLM: Faster and Smaller Language Model Queries

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A prompting enhancement library for transformers-type text embedding systems

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An all-in-one, pure C++ inference engine for audio models, powered by ggml. Supports TTS, STT, VAD, voice conversion, music generation, and more, with highly optimized performance. No Python dependency.

Coding Agent Session Manager for Claude Code / Gemini CLI / Codex CLI / Cursor Agent / Copilot CLI / Cline CLI / OpenCode / Kimi CLI

A framework for efficient model inference with omni-modality models

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A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

PyTorch extensions for high performance and large scale training.

Fast and memory-efficient exact attention

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The Prodigy optimizer and its variants for training neural networks.

Minimalist ML framework for Rust

python library for invisible image watermark (blind image watermark)

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

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The official implementation for Pseudo Numerical Methods for Diffusion Models on Manifolds (ICLR 2022) and a generic framework for DDIM-like models

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Denoising Diffusion Implicit Models

Tools to train a generative model on arbitrary audio samples

Denoising Diffusion Probabilistic Models

Diffusion-based markup-to-image generation

kaldi-asr/kaldi is the official location of the Kaldi project.

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🤗 Fast, efficient, open-access datasets and evaluation metrics for Natural Language Processing and more in PyTorch, TensorFlow, NumPy and Pandas

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Pure Rust multimedia format demuxing, tag reading, and audio decoding library

A fast and lightweight python-based CTC beam search decoder for speech recognition.

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UniSpeech - Large Scale Self-Supervised Learning for Speech

Flax is a neural network ecosystem for JAX that is designed for flexibility.

Optax is a gradient processing and optimization library for JAX.

🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision

Model parallel transformers in JAX and Haiku

Pre-training BART in Flax on The Pile dataset

:crab: Small exercises to get you used to reading and writing Rust code!

💥Fast State-of-the-Art Tokenizers optimized for Research and Production

Google Research

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Trax — your path to advanced deep learning

Reformer, the efficient Transformer, in Pytorch

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Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.

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