Models and examples built with TensorFlow

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Making large AI models cheaper, faster and more accessible

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Open standard for machine learning interoperability

Letta (formerly MemGPT) is a framework for creating LLM services with memory.

The Data Engineering Cookbook

An AI Hedge Fund Team

Translate the video from one language to another and add dubbing. 将视频从一种语言翻译为另一种语言，同时支持语音识别转录、语音合成、字幕翻译。

Ongoing research training transformer models at scale

The official GitHub page for the survey paper "A Survey of Large Language Models".

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

The TinyLlama project is an open endeavor to pretrain a 1.1B Llama model on 3 trillion tokens.

[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型

95.47% on CIFAR10 with PyTorch

交易模块

An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.

Distilled variant of Whisper for speech recognition. 6x faster, 50% smaller, within 1% word error rate.

LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

[CVPR 2023] DepGraph: Towards Any Structural Pruning

Flops counter for convolutional networks in pytorch framework

Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…

PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html

TensorRT MODNet, YOLOv4, YOLOv3, SSD, MTCNN, and GoogLeNet

Code for Tiny Python Projects (Manning, 2020, ISBN 1617297518). Learning Python through test-driven development of games and puzzles.

Automated deep learning algorithms implemented in PyTorch.

OpenMMLab Model Compression Toolbox and Benchmark.