Models and examples built with TensorFlow

Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

Deep Learning for humans

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek, Qwen, Llama, Gemma, TTS 2x faster with 70% less VRAM.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

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

gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI

verl: Volcano Engine Reinforcement Learning for LLMs

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Minimal reproduction of DeepSeek R1-Zero

Super Resolution for images using deep learning.

Nano vLLM

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

A paper list of object detection using deep learning.

NumPy & SciPy for GPU

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

AutoML library for deep learning

Keras implementations of Generative Adversarial Networks.

Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

A curated list of practical financial machine learning tools and applications.

Automated Machine Learning with scikit-learn

Object detection, 3D detection, and pose estimation using center point detection:

Keras code and weights files for popular deep learning models.

Official Kaggle CLI

DUSt3R: Geometric 3D Vision Made Easy

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility