karthy257

karthy257's Stars

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python135k1.1k16.1k27k

• aymericdamien/TensorFlow-Examples

  TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

  Language:Jupyter Notebook43.4k2k23514.9k

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook18.7k6531868.7k

• PaddlePaddle/PaddleGAN

  PaddlePaddle GAN library, including lots of interesting applications like First-Order motion transfer, Wav2Lip, picture repair, image editing, photo2cartoon, image style transfer, GPEN, and so on.

  Language:Python7.9k1073631.2k

• rasbt/machine-learning-book

  Code Repository for Machine Learning with PyTorch and Scikit-Learn

  Language:Jupyter Notebook3.6k56951.3k

• JohnSnowLabs/spark-nlp-workshop

  Public runnable examples of using John Snow Labs' NLP for Apache Spark.

  Language:Jupyter Notebook1k5778602

• PacktPublishing/Causal-Inference-and-Discovery-in-Python

  Causal Inference and Discovery in Python by Packt Publishing

  Language:Jupyter Notebook7861711269

• seth814/Audio-Classification

  Code for YouTube series: Deep Learning for Audio Classification

  Language:Jupyter Notebook5481742188

• GeostatsGuy/Resources

  Inventory of all the educational content that I share on spatial data analytics, geostatistics and machine learning. I hope these resources are helpful, Prof. Michael Pyrcz

  37621047

• Lightning-AI/dl-fundamentals

  Deep Learning Fundamentals -- Code material and exercises

  Language:Jupyter Notebook3481420164

• rasbt/MachineLearning-QandAI-book

  Machine Learning Q and AI book

  Language:Jupyter Notebook343101481

• aayushmalik/awesome-bayesian-statistics

  A repository for collating all the resources such as articles, blogs, papers, and books related to Bayesian Statistics.

  1095123

• kpjmcg/Statistical-Rethinking-2023-Python-Notes

  Lecture notes and python code to replicate models built throughout the course of Richard Mcelreath's 2023 Lecture Series 'Statistical Rethinking'. Relies on pymc

  Language:Jupyter Notebook725110

• SpringerNLP/Chapter11

  Chapter 11: Transfer Learning/Domain Adaptation

  Language:Jupyter Notebook18305

• bharatadk/python_splitter

  📁 Repo for python_splitter Python package. This package can split Images into Train, Test, Validation folders automatically by shuffling media/images for machine learning.

  Language:Python13404

• SpringerNLP/Chapter3

  Chapter 3: Text and Speech Basics

  Language:Jupyter Notebook13306

• SpringerNLP/Chapter9

  Chapter 9: Attention and Memory Augmented Networks

  Language:Jupyter Notebook13304

• SpringerNLP/Chapter8

  Chapter 8: Automatic Speech Recognition

  Language:Jupyter Notebook12305

• SpringerNLP/Chapter13

  Chapter 13: Deep Reinforcement Learning for Text and Speech

  Language:Jupyter Notebook10205

• SpringerNLP/Chapter4

  Chapter 4: Basics of Deep Learning

  Language:Jupyter Notebook10305

• SpringerNLP/Chapter6

  Chapter 6: Convolutional Neural Networks

  Language:Jupyter Notebook9305

• SpringerNLP/Chapter12

  Chapter 12: End-to-end Speech Recognition

  Language:Jupyter Notebook8305

• SpringerNLP/Chapter10

  Chapter 10: Multi-task Learning

  Language:Python7343

• SpringerNLP/Chapter7

  Chapter 7: Recurrent Neural Networks

  Language:Python7317

• PacktPublishing/Mastering-Image-Segmentation-With-PyTorch-using-Real-World-Projects

  Language:Python62

• SpringerNLP/Chapter2

  Chapter 2: Machine Learning Basics

  Language:Jupyter Notebook6419

• rasbt/CTGAN

  Conditional GAN for generating synthetic tabular data.

  Language:Python3102

• karthy257/Scikit-Learn

  2100

• karthy257/Keras-Tensorflow

  1200

• karthy257/PyTorch

  Projects Related to PyTorch

  1200