There are no reviews yet. Be the first to send feedback to the community and the maintainers!
d2l-pytorch
This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.graph_nets
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.VisualML
Interactive Visual Machine Learning Demos.reading-group
Discussions on papers, frameworks, blogs and ideas every Saturday.Neural-Style-Transfer
Keras implementationadversarial_lab
Web-based Tool for visualisation and generation of adversarial examples by attacking ImageNet Models like VGG, AlexNet, ResNet etc.Visualizing-Loss-Functions
AIKavach
Audio-Super-Resolution
Enhancment of Audio Quality (Bit-Depth and Sampling-Rate) using Deep Learning.np_detection
Number Plate Detection of Vehicles from Videos.BOSCH-MODEL-EXTRACTION-ATTACK-FOR-VIDEO-CLASSIFICATION
Winning solution of work done on model extraction over Vision Transformers such as Video-Swin-T and MoViNeT-A2-Base on Video Action-Recognition tasks under Inter-IIT Tech Meet 10.0AMEX-AnalyzeThis2017
Data Science Challengerl_2048
Implementation of Deep Q-network to play the game 2048 using Keras.BOSCH-TRAFFIC-SIGN-RECOGNITION
ForecastPro
Tensorflow-Based Approach to Handling Single-Step and Iterated ForecastingEmotion-Recognition
Emotion RecognitionLecture-Assignments-Y22
Repo for submitting lecture/discussion assignments (y22)Word-Embedding
NLP BasicsGS-Quantify2017
Winner's Solution for ML problem in GS Quantify 2017ML-Reproducibility-2020-DUQ
Practical-DL-Sprint
Repo for DSG's Practical Deep Learning Sprint SeriesRL_StockTrader
Trading agent for Minute wise stock pricesTraffic-Sign-Classification
re_DSRS
website
The Data Science Group WebsiteSarcasm-Detection-Tensorflow
BERT based Sarcasm Detection using TensorFlow.Adversarial_CapsNet_Pytorch
Adversarial Attack Training on CapsuleNet and Comparison of results with that of CNNs. (Work in Progress)ISLR-Julia
This repository contains Julia code for a selection of tables, figures and LAB sections from the book 'An Introduction to Statistical Learning with Applications in R' by James, Witten, Hastie, Tibshirani (2013).BYOP_1y
This repository consist of the BYOP projects made by our new recruits of 2023 during their recruitment drivedsg-lecture-assignments
lecture-assignments-y23
Assignments: Batch Y23Assignments
Repo for Assignment SubmissionLove Open Source and this site? Check out how you can help us