Repository Index

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

• deep-learning
• platform
• pytorch

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

• gpt-4
• chatbot
• chatgpt
• llama

Multi-lingual large voice generation model, providing inference, training and deployment full-stack ability.

• audio-generation
• gpt-4o
• text-to-speech
• tts

Universal LLM Deployment Engine with ML Compilation

• llm
• machine-learning-compilation
• language-model
• tvm

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

• nlp
• pre-trained-model
• unilm
• minilm

The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.

• reinforcement-learning
• unity3d
• deep-learning
• unity

Janus-Series: Unified Multimodal Understanding and Generation Models

• any-to-any
• foundation-models
• llm
• multimodal

Go ahead and axolotl questions

• fine-tuning
• llm

An open-source, tool-augmented conversational language model from Fudan University

• chatgpt
• deep-learning
• dialogue-systems
• large-language-models

The repository provides code for running inference and finetuning with the Meta Segment Anything Model 3 (SAM 3), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

This project aim to reproduce Sora (Open AI T2V model), we wish the open source community contribute to this project.

Foundational Models for State-of-the-Art Speech and Text Translation

Low-code framework for building custom LLMs, neural networks, and other AI models

• deep-learning
• deeplearning
• deep
• learning

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

• machine-learning
• experiment-track
• deep-learning
• keras

QLoRA: Efficient Finetuning of Quantized LLMs

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

• machine-learning
• python
• data-science
• automl

Automated Machine Learning with scikit-learn

• automl
• scikit-learn
• automated-machine-learning
• hyperparameter-optimization

Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages

• python
• nlp
• natural-language-processing
• machine-learning

TranslatedA knowledge graph for mathematics (primary school to high school), English (grade 3 to high school), and junior high school physics: 1,644 knowledge points, 2,403 prerequisite edges, and 6,723 questions, aligned with the curriculum standards, with an adaptive prerequisite diagnostic.

• chinese
• curriculum
• diagnostic
• edtech

Optimized primitives for collective multi-GPU communication

• communications
• cpp
• cuda
• deep-learning

A unified, comprehensive and efficient recommendation library

• recommender-systems
• collaborative-filtering
• knowledge-graph
• ctr-prediction

Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.

• deep-learning
• machine-learning
• ml-platform
• ml-infrastructure

Official repository for MOSS-Image, a 5B-parameter base DiT model with high-quality text rendering, layout generation, and efficient fine-tuning.

• controllable-generation
• foundation-models
• image-generation
• text-rendering

natural language processor powered by plugins part of the @unifiedjs collective

• natural-language
• ast
• retext
• cst