Popular GitHub Repositories for Nd101

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

从无名小卒到大模型（LLM）大英雄~ 欢迎关注后续！！！

目标是提供一个完整的Java机器学习(Machine Learning/ML)框架,作为人工智能在学术界与工业界的桥梁. 让相关领域的研发人员能够在各种软硬件环境/数据结构/算法/模型之间无缝切换. 涵盖了从数据处理到模型的训练与评估各个环节,支持硬件加速和并行计算,是最快最全的Java机器学习库.

Video Platform for Action Recognition and Object Detection in Pytorch

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

[ICLR 2025] xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

xVerify: Efficient Answer Verifier for Large Language Model Evaluations

? Solution manual for the text book Neural Network Design 2nd Edition by Martin T. Hagan, Howard B. Demuth, Mark Hudson Beale, and Orlando De Jesus

Multiclass image classification using Convolutional Neural Network

Detect traffic lights and classify the state of them, then give the commands "go" or "stop".

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.

Transformer for Action Recognition in PyTorch

[AAAI '23] PINAT: A Permutation INvariance Augmented Transformer for NAS Predictor

[NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen and Lu Yuan

TensorFlow implementation for "Guided Optical Flow Learning"

Implementation of LTC-SUM: Lightweight Client-driven Personalized Video Summarization Framework Using 2D CNN

Fast Scala and nd4j based machine learning framework