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A playbook for systematically maximizing the performance of deep learning models.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
An Empirical Evaluation of Temporal Graph Benchmark
TGB baselines for dynamic link property prediction
JuliaGast / TGB2
Forked from shenyangHuang/TGBTemporal Graph Benchmark project repo
real time face swap and one-click video deepfake with only a single image
Leveraging BERT and c-TF-IDF to create easily interpretable topics.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
links to conference publications in graph-based deep learning
resources for bioinformatics education
Matching the electives in the TUM Informatics master by area with the information if they are actually being offered this semester.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
A latent text-to-image diffusion model
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Automatic Boundary Extraction of Large-Scale Photovoltaic Plants Using a Fully Convolutional Network on Aerial Imagery
PointGroup: Dual-Set Point Grouping for 3D Instance Segmentation
Visualize Tensorflow's optimizers.
A complete computer science study plan to become a software engineer.
Google Ads API Client Library for Python
Implementation and tutorials of normalizing flows with the novel distributions module
Download and visualize single or multiple classes from the huge Open Images v4 dataset
Siamese Network implementation using Pytorch
CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-winter offering
CS 771A: Introduction to Machine Learning, IIT Kanpur, 2019-20-autumn offering