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A curated list of awesome Machine Learning frameworks, libraries and software.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
利用AI大模型，一键生成高清短视频 Generate short videos with one click using AI LLM.
Running large language models on a single GPU for throughput-oriented scenarios.
High accuracy RAG for answering questions from scientific documents with citations
💬 Telegram bot with ChatGPT, Python-based, using OpenAI's API.
Robust recipes to align language models with human and AI preferences
Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Accurate answers and instant citations for your documents.
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in ~110 seconds (or less!)
tsl: a PyTorch library for processing spatiotemporal data.
Simple Pinecone + OpenAI framework to do RAG on movie reviews (or anything else)
Official repository for the paper "Learning to Reconstruct Missing Data from Spatiotemporal Graphs with Sparse Observations" (NeurIPS 2022)
Transfer Entropy between two time series - Implementation in Python
Implementation of PyTorch-based multi-task pre-trained models
Web application for the data-driven management of a small healthcare facility. Proof of Concept of a wider platform project in the Patient Satisfaction area
Code, figures and data for a review of bivariate causality indices