Pinned Repositories
acm
My accepted submissions to ACM ICPC training and related sites
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awesome-imbalanced-learning-in-production
CS229-Fall-2018-Problem-Solutions
Problem sets solutions of Stanford CS229 Fall 2018.
data-science-question-answer
A repo for data science related questions and answers
fsdl-talk-to-transformer
See how a modern neural network completes your spoken words/sentences. Speak a few words to try this out.
imbalanceddata.github.io
opennlp
Mirror of Apache OpenNLP
Machine-Learning-for-Imbalanced-Data
Machine Learning for Imbalanced Data, published by Packt
kumar-abhishek's Repositories
kumar-abhishek/fsdl-talk-to-transformer
See how a modern neural network completes your spoken words/sentences. Speak a few words to try this out.
kumar-abhishek/awesome-imbalanced-learning-in-production
kumar-abhishek/imbalanceddata.github.io
kumar-abhishek/opennlp
Mirror of Apache OpenNLP
kumar-abhishek/airbnb
kumar-abhishek/blueprints-text
Jupyter notebooks for our O'Reilly book "Blueprints for Text Analysis Using Python"
kumar-abhishek/cs224n
kumar-abhishek/data-science-interviews
Data science interview questions and answers
kumar-abhishek/Drpbx
Preparation material for Dropbox interviews
kumar-abhishek/Guitar-Chords-recognition
An application that predicts the chords when melspectrograms of guitar sound is fed into a CNN.
kumar-abhishek/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
kumar-abhishek/learning-notes
Notes on books I read, talks I watch, articles I study and papers I love
kumar-abhishek/ml-design-patterns
Source code accompanying O'Reilly book: Machine Learning Design Patterns
kumar-abhishek/onnxruntime-inference-examples
Examples for using ONNX Runtime for machine learning inferencing.
kumar-abhishek/progit2
Pro Git 2nd Edition
kumar-abhishek/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
kumar-abhishek/Selected_ML_Papers
kumar-abhishek/sentiment-analysis
kumar-abhishek/sentimentscale
kumar-abhishek/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
kumar-abhishek/youtube-urls
kumar-abhishek/apache-spark-from-scratch
kumar-abhishek/awesome-imbalanced-learning
Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切：论文、代码、框架与库
kumar-abhishek/JustEnoughScalaForSpark
A tutorial on the most important features and idioms of Scala that you need to use Spark's Scala APIs.
kumar-abhishek/kumar-abhishek
kumar-abhishek/kumar-abhishek.github.io
kumar-abhishek/logit-adj-pytorch
PyTorch implementation of the paper: Long-tail Learning via Logit Adjustment
kumar-abhishek/Machine-Learning-for-Imbalanced-Data
Imbalanced Datasets in ML, published by Packt
kumar-abhishek/nb-dev-template
kumar-abhishek/onnx-bert