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amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

anlp_assignment1

Assignment1 of Accelerated Natural Language Processing at the University of Edinburgh

anlp_assignment3

Assignment 3 of Accelerated Natural Language Precessing

charades-algorithms

Activity Recognition Algorithms for the Charades Dataset

deep-learning-practical-assignment-1

Implement CNN packages from scratch using python

deeplearningpractical_assignment2

Implement CNN packages including Conv Layer (fprop, bprop, grads_wrt_params) with scipy.signal.convolve2d and Max Pooling using python; Exploring context in convolutional networks: Dilation, Striding, Pooling

deepview3d

Viewpoint-based 3D reconstruction network (First Place of IBM Prize for Machine Learning @ University of Edinburgh)

deit

Official DeiT repository

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

hfo

Half Field Offense in Robocup 2D Soccer

mlpractical

Machine Learning Practical course repository

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

nmt-tips

A tutorial about neural machine translation including tips on building practical systems

nmt_toolkit

Materials for the second assignment of INFR 11157.

object-detection-and-action-recognition-for-driverless-vehicles

Object Detection on traffic scenario and Action Recognition (for driverless vehicles) YOLOv3

pix3d

Pix3D: Dataset and Methods for Single-Image 3D Shape Modeling

pixelcnn-pytorch

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, DPN, CSPNet, and more

rl2019-basecodes

sequential_model_pytorch_rnn_1dcnn

Sequential data using RNN (LSTM, GRU, etc) CNN and RCNN. Adaptable to variable length input sequence.

skeleton-based-cyclist-hand-signal-and-attention-recognition

Spatial Temporal Graph Convolutional Neural Networks: Recognise hand signals such as to turn left, to turn right and to stop; Identify whether the cyclist notices the vehicles behind or beside (OpenPose + Kinetics + NTU RGB+D )

super-events-cvpr18

Code for our CVPR 2018 paper "Learning Latent Super-Events to Detect Multiple Activities in Videos"

tensorflow-and-deeplearning-tutorial

TensorFlow & Deep Learning Tutorial

two-view-3d-construction

Two-view 3D construction via 2.5D sketches

utilisation_review_gpt4

GPT4 | LLM | Medical Report | Utilisation Review

vision

Datasets, Transforms and Models specific to Computer Vision

whaleid

Kaggle: Humpback Whale Identification

wsad

Weakly Supervised Action Detection