aymericdamien/TensorFlow-Examples
quality grade C, 51 out of 100TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Core deep-learning frameworks and libraries for pretraining and distributed training.
Signals: deep-learning, neural-network, pytorch, tensorflow, jax, distributed-training, training, deepspeed
2,694 results
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
One-click training of your own GPT. Training a GPT has never been easier for beginners. / 一键预训练+SFT一个属于自己的LLM,0基础训练GPT原来可以这么简单?
Run Effective Large Batch Contrastive Learning Beyond GPU/TPU Memory Constraint
Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.
Our first fully AI generated deep learning system
Code and data for "AnyV2V: A Tuning-Free Framework For Any Video-to-Video Editing Tasks" [TMLR 2024]
This is a background removing tool powered by InSPyReNet (ACCV 2022)
[ICCV 2023] Tracking Anything with Decoupled Video Segmentation
[ACM MM 20 Oral] PyTorch implementation of Self-supervised Dance Video Synthesis Conditioned on Music
Pytorch implementation of "Genie: Generative Interactive Environments", Bruce et al. (2024).
Code for Motion Representations for Articulated Animation paper
🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox
OmniVinci is an omni-modal LLM for joint understanding of vision, audio, and language.
[CVPR 2024] Alpha-CLIP: A CLIP Model Focusing on Wherever You Want
A lightweight, scalable, and general framework for visual question answering research
PyTorch implementation of "Transparency by Design: Closing the Gap Between Performance and Interpretability in Visual Reasoning"
A curated list of artificial intelligence resources (Courses, Tools, App, Open Source Project)
Complete-Life-Cycle-of-a-Data-Science-Project
AI Infra / AI Orchestration / AI Control Plane
一个简单方便的目标检测框架(PyTorch环境可直接运行,不需要cuda编译),支持Faster_RCNN、Cascade_RCNN、Yolo系列、SSD等经典网络。
Highly Accurate and Efficient Burn detection and Classification trained with Deep Learning Model
Deep Learning sample programs using PyTorch in C++
State-of-the-art Single Shot MultiBox Detector in Pure TensorFlow, QQ Group: 758790869
yolo master 本课程主要对yolo系列模型进行介绍,包括各版本模型的结构,进行的改进等,旨在帮助学习者们可以了解和掌握主要yolo模型的发展脉络,以期在各自的应用领域可以进一步创新并在自己的任务上达到较好的效果。
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