TDominiak's Stars
stanford-crfm/BioMedLM
Hannibal046/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
triton-inference-server/tutorials
This repository contains tutorials and examples for Triton Inference Server
markduon/NVIDIA-Computer-Vision-for-Industrial-Inspection
This is a hands-on workshop organized by The NVIDIA Deep Learning Institute (DLI) and The SMART Infrastructure Facility
ianyepan/top-70-leetcode-questions
Hand-picked Top 70 LeetCode Questions
ashishps1/awesome-leetcode-resources
Awesome LeetCode resources to learn Data Structures and Algorithms and prepare for Coding Interviews.
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
Vasanthengineer4949/NLP-Projects-NHV
NLP Projects playlist
stephengou/Contextual-Multi-Armed-Bandit
daddydrac/Contextual-Multi-Armed-Bandits
david-cortes/contextualbandits
Python implementations of contextual bandits algorithms
nlmatics/nlm-ingestor
This repo provides the server side code for llmsherpa API to connect. It includes parsers for various file formats.
BradyFU/Awesome-Multimodal-Large-Language-Models
:sparkles::sparkles:Latest Advances on Multimodal Large Language Models
mikel-brostrom/boxmot
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models
theAIGuysCode/yolov4-deepsort
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.
jwyang/faster-rcnn.pytorch
A faster pytorch implementation of faster r-cnn
ZQPei/deep_sort_pytorch
MOT using deepsort and yolov3 with pytorch
bentrevett/pytorch-seq2seq
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
pvlib/pvlib-python
A set of documented functions for simulating the performance of photovoltaic energy systems.
jingw2/demand_forecast
usuyama/pytorch-unet
Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation
QData/spacetimeformer
Multivariate Time Series Forecasting with efficient Transformers. Code for the paper "Long-Range Transformers for Dynamic Spatiotemporal Forecasting."