pytorch

A work in progress to build out solutions in Rust for MLOPs

Build a ChatGPT like LLM from scratch in PyTorch, explained step by step.

[ICCV 2023] Q-Diffusion: Quantizing Diffusion Models.

PyTorch Implementation for Paper "Emotionally Enhanced Talking Face Generation" (ICCVW'23 and ACM-MMW'23)

Sentiment analysis neural network trained by fine-tuning BERT, ALBERT, or DistilBERT on the Stanford Sentiment Treebank.

Compare neural networks by their feature similarity

The corresponding code from our paper "DeCLUTR: Deep Contrastive Learning for Unsupervised Textual Representations". Do not hesitate to open an issue if you run into any trouble!

multi_task_NLP is a utility toolkit enabling NLP developers to easily train and infer a single model for multiple tasks.

Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention

Open-source reference implementations for AI-enabled payment security, blockchain fraud detection, and AML/CFT compliance reasoning.

多模态情感分析——基于BERT+ResNet的多种融合方法

PERT: Pre-training BERT with Permuted Language Model

Code & Data for "Tabular Transformers for Modeling Multivariate Time Series" (ICASSP, 2021)

Python library & framework to build custom translators for the hearing-impaired and translate between Sign Language & Text using Artificial Intelligence.

Fine-tune and evaluate Whisper models for Automatic Speech Recognition (ASR) on custom datasets or datasets from huggingface.

中文文本分类、序列标注工具包（pytorch），支持中文长文本、短文本的多类、多标签分类任务，支持中文命名实体识别、词性标注、分词、抽取式文本摘要等序列标注任务。 Chinese text classification and sequence labeling toolkit, supports multi class and multi label classification, text similsrity, text summary and NER.

Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning

Self-host the powerful Dia TTS model. This server offers a user-friendly Web UI, flexible API endpoints (incl. OpenAI compatible), support for SafeTensors/BF16, voice cloning, dialogue generation, and GPU/CPU execution.

Official PyTorch Implementation of "Learning to Learn with Generative Models of Neural Network Checkpoints"

PyTorch library for cost-effective, fast and easy serving of MoE models.