rohitpandey13

rohitpandey13's Stars

• IAmS4n/TextGenerationEvaluationMetrics

  Jointly Measuring Diversity and Quality in Text Generation Models

  Language:Python262

• google-research/bleurt

  BLEURT is a metric for Natural Language Generation based on transfer learning.

  Language:Python70885

• junchaoIU/LLM-generated-Text-Detection

  A survey and reflection on the latest research breakthroughs in LLM-generated Text detection, including data, detectors, metrics, current issues and future directions.

  6416

• NLP2CT/LLM-generated-Text-Detection

  A survey and reflection on the latest research breakthroughs in LLM-generated Text detection, including data, detectors, metrics, current issues and future directions.

  18511

• Hello-SimpleAI/chatgpt-comparison-detection

  Human ChatGPT Comparison Corpus (HC3), Detectors, and more! 🔥

  Language:Python1.3k120

• Taeyoung96/SLAM-Resources-for-Beginner

  Highly recommended resources for SLAM newbies (Lecture, Reviewed paper, Books, Tutorial, etc)

  988

• tzutalin/awesome-visual-slam

  :books: The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

  2.3k442

• s-marton/GRANDE

  (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles

  Language:Jupyter Notebook899

• Avaiga/taipy

  Turns Data and AI algorithms into production-ready web applications in no time.

  Language:Python17.5k1.9k

• pypa/pipenv

  Python Development Workflow for Humans.

  Language:Python24.9k1.9k

• WailordHe/DenseSSM

  A repository for DenseSSMs

  Language:Python879

• aishwaryanr/awesome-generative-ai-guide

  A one stop repository for generative AI research updates, interview resources, notebooks and much more!

  10k2.1k

• paolorechia/kaggle-feedback-competition

  Playing with a Kaggle Competition

  Language:Python1

• kmkarakaya/Deep-Learning-Tutorials

  ML_tutorials

  Language:Jupyter Notebook8846

• yxuansu/SimCTG

  [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

  Language:Python46840

• jakespringer/robustness

  A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.

  1

• jakespringer/echo-embeddings

  Language:Python1347

• majianthu/pycopent

  Estimating Copula Entropy (Mutual Information), Transfer Entropy (Conditional Mutual Information), and the statistics for multivariate normality test and two-sample test, and change point detection in Python

  Language:Python15731

• py-why/causal-learn

  Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

  Language:Python1.2k200

• wenjie710/PivotNet

  Source code of PivotNet (ICCV2023, PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction)

  Language:Python1079

• unitreerobotics/point_lio_unilidar

  Point-LIO algorithm for Unitree LiDAR products.

  Language:C++22634

• huggingface/optimum

  🚀 Accelerate inference and training of 🤗 Transformers, Diffusers, TIMM and Sentence Transformers with easy to use hardware optimization tools

  Language:Python2.6k487

• huggingface/pytorch-image-models

  The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT), MobileNetV4, MobileNet-V3 & V2, RegNet, DPN, CSPNet, Swin Transformer, MaxViT, CoAtNet, ConvNeXt, and more

  Language:Python32.8k4.8k

• RubensZimbres/GDE-Sprints

  A repository of code developed in Google Developer Experts sprints

  Language:Jupyter Notebook1

• VanekPetr/investment-funnel

  Investment Funnel 📈 is an open-source python platform designed for an easy development and backtesting of outperforming investment strategies.

  Language:Python568

• WongKinYiu/yolov9

  Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

  Language:Python9.1k1.5k

• trainindata/forecasting-with-machine-learning

  Code repository for the course "Forecasting with Machine Learning Models"

  Language:Jupyter Notebook158

• trainindata/testing-and-monitoring-ml-deployments

  Example project for the course "Testing & Monitoring Machine Learning Model Deployments"

  Language:Jupyter Notebook133223

• trainindata/feature-selection-for-machine-learning

  Code repository for the online course Feature Selection for Machine Learning

  Language:Jupyter Notebook610

• trainindata/machine-learning-imbalanced-data

  Code repository for the online course Machine Learning with Imbalanced Data

  Language:Jupyter Notebook412